Jobs in Mauritius
Senior Data Engineer (Analytics | Remote) (Maurice)
🧬 About Us We’re iubenda, the team turning compliance into a growth engine. We help over 110K businesses all around the world build trust, boost performance, and grow without limits. Now part of team.blue ( https://team.blue/ ) , we’re scaling privacy tech with confidence, creativity, and a little bit of attitude. Join a team that moves fast, thinks big, and makes privacy feel exciting again! The proposed salary range (the final offer will be based on experience and seniority) is €26,500 – €40,000 gross annual total compensation , plus benefits (as listed in the relevant section below). 🎯 Mission & Core Purpose We’re looking for an experienced Senior Data Engineer to own the design and build of iubenda’s data infrastructure from the ground up. You will be the founding force behind a comprehensive Data Warehouse solution, turning raw data streams from our product, marketing, and business operations into clean, reliable, and insightful data assets. Reporting to the Director of Platform Engineering , you will partner with Marketing, Product, and Growth teams to build scalable analytics foundations that power data-driven decisions across the entire company. 💼 Key Responsibilities - Architecting and building iubenda’s Data Warehouse from scratch - defining the overall data architecture, modeling conventions, governance standards, and a scalable technical stack that can grow with the company. - Designing and implementing end-to-end data pipelines (dbt) that ingest, transform, and serve raw event logs, product data, and third-party sources as canonical, reliable datasets. - Owning the Marketing Analytics data engineering domain : owning the data pipelines and configuration of backend and frontend SDKs and middleware elements that lead data to advertising platforms and iubenda data warehouse, enabling the measurement of campaign performance, attribution, funnel conversion, and A/B testing. - Building foundational data infrastructure that empowers Data and Revenue Analysts from Finance, Marketing, Product, and Sales teams to independently build dashboards, explore data, and make informed decisions utilizing tools like PowerBI. - Establishing high data integrity standards, SLAs, alerting mechanisms, and documentation practices to ensure timely, accurate, and trustworthy data delivery across all consumers. - Defining and executing the strategic roadmap for data foundations and analytics capabilities, translating stakeholder needs into prioritised technical requirements, and serving as the internal technical thought leader for data modeling, ETL processes, and the modern data stack. - Partnering with Engineering and Product to understand how users interact with iubenda’s products, instrumenting data pipelines correctly from the source, and transforming event logs into insightful data marts. - Becoming the internal expert on iubenda’s data architecture - owning the full lifecycle from data instrumentation to production-ready, reporting-grade datasets compatible with existing finance and group-level data schemas. 👤 Your Profile You have experience in scale-up environments (SaaS experience is a plus) and a proven track record of building data infrastructure from an early stage. You combine deep technical data engineering skills with a strong ability to understand business needs - especially across Marketing, Finance, and Product. You take ownership, move fast, and don’t let perfect be the enemy of effective. 💡 Experience & Skills • 6+ years of experience as a Data Engineer or in a similar role, preferably in a SaaS scale-up, and strong exposure to Analytics needs from stakeholders. • Deep expertise in SQL and Python for transforming raw data into clean, accurate, and performant data models. • Proven track record of architecting and building a Data Warehouse or analytics infrastructure from scratch, including data modeling standards, governance frameworks, and the definition of a modern data stack. • Strong expertise in Marketing Analytics is required. Topics like hands-on integration with marketing platforms (Google Ads, Meta, HubSpot, Salesforce, or similar) are important, while attribution modeling, funnel analysis, and campaign performance are a plus. • Proficiency in dbt for building and managing multi-layer data transformations (staging, intermediate, and mart layers), including testing and documentation. • Experience with workflow orchestration tools such as Airflow or equivalent platforms. • Hands-on experience with modern cloud data warehouses: e.g., Snowflake, BigQuery, or Redshift. • Experience enabling the construction of insightful dashboards and self-serve reporting in visualization platforms such as PowerBI, Tableau, or similar for Data Analyst partners. • Ability to define and execute a strategic roadmap for data foundations - setting technical priorities, establishing data governance, and driving best practices across the organisation. • A “full-stack mindset”: not hesitating to do what it takes to solve a problem end-to-end, even if it goes outside the original scope. • A strong bias for action and the ability to thrive in ambiguity, taking initiative to create clarity and forward progress. • Excellent written and verbal communication skills in English, with the ability to translate complex technical concepts for non-technical stakeholders. 🌐 Location At iubenda we believe in remote-first work. While you can work from anywhere in Mauritius, we encourage regular in-person collaboration at our Port Louis office, typically once per week. This role involves working with the team on CET hours, meaning your schedule will align with this time zone to ensure smooth collaboration. 🎁 Benefits • Healthy work-life balance 🌴 We offer a remote-first employment agreement with a 40-hour workweek, 22 paid days off (increasing to 25 from the second year), plus national holidays, all to help you thrive both professionally and personally. • Company retreats 🏔️ Once a year, we hold fully paid, week-long retreats in beautiful locations such as Venice, Athens, and Palermo, where we work, connect, and recharge together. • All-in-One flex budget 💳 A yearly sum of up to 1.000€ that you can tailor to your personal needs, whether it’s private health coverage, meal vouchers, childcare, learning, fitness, or other lifestyle choices. You can invest in what matters most to you (total amount, availability of specific services, payment method, and taxability may vary depending on local regulations). • Work equipment supply scheme 💻 A policy designed to help you create the perfect setup and perform at your best. • Collaborative, multicultural team 🧩 Join a team of talented, international colleagues in a friendly, open, and highly collaborative environment. Please send your CV in English. Want to know more about iubenda? Check us out at: iubenda.com | LinkedIn | Facebook | Twitter Privacy By applying, you hereby declare that you have read and understood our privacy policy (https://www.iubenda.com/privacy-policy/96274994). To ensure a fair selection process and verify your identity, we may ask you during video interviews to disable virtual backgrounds or filters, show an ID, or answer follow-up questions. If you need an alternative arrangement, please let us know, and we will accommodate.
Data Engineer
Business & Decision Maurice recrute des Data Engineers ayant une bonne maitrise d’un ou plusieurs des outils suivants : Informatica / DBT / Snowflake / PySpark. Postes ouverts : Intermédiaire (min. 3 ans d’expérience) et Senior (min. 5 ans d’expérience ) Poste et Missions : Vous intégrez des équipes internationales et sous la supervision d'un Chef de projet, vous participez à toutes les phases de mise en oeuvre d’une application décisionnell • e : Recueil et analyse de besoins cli • entsSpécifications fonctionnelles et techni • quesConception, développement et tests (intégration de données, reporting et analyt • ics)Documentation techn • iqueMaintenance corrective et évolu • tiveSupport et formation utilisat eurs Pro • fil : 3 ans d’expérience minimum en développement de soluti • ons BIBonne maitrise d'un ou plusieurs des outils suivants : Informatica (IICS) / DBT / Snowflake / P • ySparkune connaissance pratique d'un outil Reporting est u • n plusExcellente communication en Fra n çais. Nos Avant • ages : Salaire très inté • ressantBénéfices divers (primes, referral programme • , etc.)Assurance m • édicalePlan de retrait • e privéMode de travail • hybrideFlexibilité • horaireAmbiance conviviale (séjours hôtel, happy hour, team events , etc.)
Treasury Data Analytics Associate
Company Description We’re Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. We are seeking highly analytical and collaborative Associates with a focus on Treasury Analytics to join our growing global treasury function. Operating in a fast-paced payments environment, this role will serve as the technical engine for the Reporting and Analytics team. Reporting directly to the Manager, Enterprise Treasury, you will be responsible for executing technical data tasks, building scalable data models, and delivering high-quality, actionable reports that drive strategic decision-making across the various treasury functions. Because you will be working closely with cross-regional teams, the ability to translate complex technical concepts into clear business insights is critical. You will leverage modern data stacks to optimize reporting, while also having the exciting opportunity to explore and implement AI-driven analytics. Key Responsibilities Communication & Stakeholder Management: • Act as the vital bridge between technical data architecture and business-focused enterprise treasury operations, translating complex data findings into clear, non-technical insights. • Proactively communicate with cross-regional teams (finance, engineering, and global treasury) across multiple time zones, ensuring alignment on data definitions, reporting requirements, and project timelines. • Draft clear, concise documentation for data pipelines, dashboard usage, and reporting metrics to ensure global teams can easily understand and leverage your tools. • Present analytical findings and AI/ML capabilities confidently to both the Manager and broader global stakeholders. Data Modeling & Technical Execution • Take technical requirements translated by the Manager and develop robust data pipelines and models to support treasury operations. • Extract, transform, and load (ETL/ELT) complex datasets using modern tech stacks including dbt, Google BigQuery, and Snowflake. • Ensure data architecture is scalable, reliable, and optimized for rapid querying and analysis. Reporting, BI & Visualization • Design, build, and maintain automated, user-friendly treasury dashboards and reports using Looker/Tableau/Power BI (or similar tools). • Ensure all reports are highly accurate, timely, and aligned with broader business OKRs. • Uncover and visualize key trends across all treasury domains to support senior stakeholders. AI & Advanced Analytics Initiatives • Explore and implement AI, machine learning, and predictive analytics to improve treasury insights. • Drive continuous improvement by evaluating new tools and methodologies to keep the team’s tech stack at the cutting edge. Qualifications • Education: Bachelor’s degree in Data Science, Computer Science, Mathematics, Finance, or a related quantitative field • Experience: • 2–4 years of experience in data analytics, data engineering, or business intelligence, preferably within a fintech, banking, payments, or financial services company. • Proven track record of working collaboratively and communicating effectively in distributed or cross-regional teams. • Technical Skills: • Advanced proficiency in SQL and cloud data warehousing (specifically BigQuery and Snowflake). • Hands-on experience with data transformation tools (dbt). • Strong expertise in building dashboards and visualizations in Looker. • Bonus: Practical experience or strong familiarity with integrating AI/ML models or leveraging Python/R for predictive analytics. Key Competencies • Exceptional Communicator: Strong written and verbal communication skills; able to distill complex, technical data into clear narratives for diverse, global audiences. • Technical Agility: Deep understanding of the modern big data tech stack with an appetite for adopting new technologies, particularly in the AI space. • Collaboration & Teamwork: Thrives in a globally distributed environment, working seamlessly with diverse teams across borders and cultures. (Might require flexi hours occasionally) • Analytical Problem-Solving: Highly skilled at diving into complex, messy data to extract clean, reliable, and actionable insights. • Execution-Oriented: Ability to take high-level objectives and technical tasks delegated by the Manager and deliver scalable solutions efficiently. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com, follow us on LinkedIn and Instagram
Data Scientist I, Risk Analytics
Company Description We’re Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. We are looking for a highly technical, problem-solving Data Scientist I to join our Risk Analytics team in Ebene, Mauritius. You will be joining our dedicated Data Analytics and Tooling squad - the team responsible for building the robust data pipelines, interactive dashboards, and custom applications that empower our global Risk Operations to make fast, accurate decisions. At Checkout.com, high performance is a science, not an accident. In this role, you will be instrumental in optimizing how we manage risk through data. You will help build and scale our data infrastructure to run predictive anomaly detection models. We are actively scaling into new products, so you will have the ground-floor opportunity to integrate AI tools and shape our modern tech stack. You will be part of a dynamic team of builders who thrive on turning complex, high-volume data into scalable, automated solutions. What You Will Be Doing • Data Infrastructure & Pipeline Execution: Develop and maintain robust ETL pipelines, data models, and data controls using GCP, BigQuery, dbt, and Cloud Composer. You will ensure a clean, reliable single source of truth for the wider Risk organization. • Tooling & Process Optimization: Build intuitive custom UIs to directly support the Risk Operations team, making their day-to-day tasks and case management workflows faster and easier. • Actionable Dashboarding: Design, build, and maintain Looker dashboards that reduce manual ad-hoc requests and accelerate cross-functional decision-making. • AI Innovation & Modeling Infrastructure: Build the data infrastructure required to run anomaly detection and credit risk models. You will also help the team innovate by integrating new AI-based tools into our risk decisioning workflows. • Cross-Functional Partnership: Act as the trusted data partner for the Risk Operations team. You will rapidly execute ad-hoc data requests, troubleshoot data issues, and translate complex engineering data into clear business insights. #OneTeam About You • Data-Driven Problem Solver: You have 2+ years of applied working experience in Data Science, Data Engineering, or Data Analytics, with a proven track record of successfully delivering cross-functional projects. • Technical Architect: Advanced SQL fluency is non-negotiable. You have a good understanding of database management, ETL pipelines, and data orchestration. • The Modern Tech Stack: You will be working hands-on with tools like GCP, BigQuery, dbt, Looker, Cloud Composer, Databricks, GitHub, and ReTool. Any prior experience with these, or similar cloud-based data platforms, will be considered a strong advantage. • Detail-Obsessed Storyteller: You are an excellent communicator who can distill complex, "messy" data into clear narratives. You care deeply about data quality and strict validation before presenting findings to non-technical stakeholders. #NoRoomForApproximation • Bonus Points: Domain experience in Payments, Fraud, E-commerce, or Credit Risk. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com, follow us on LinkedIn and Instagram
Analyst I, Merchant Risk Analytics
Company Description We’re Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. We are looking for a highly technical, problem-solving Data Scientist I to join our Risk Analytics team in Ebene, Mauritius. You will be joining our dedicated Data Analytics and Tooling squad - the team responsible for building the robust data pipelines, interactive dashboards, and custom applications that empower our global Risk Operations to make fast, accurate decisions. At Checkout.com, high performance is a science, not an accident. In this role, you will be instrumental in optimizing how we manage risk through data. You will help build and scale our data infrastructure to run predictive anomaly detection models. We are actively scaling into new products, so you will have the ground-floor opportunity to integrate AI tools and shape our modern tech stack. You will be part of a dynamic team of builders who thrive on turning complex, high-volume data into scalable, automated solutions. What You Will Be Doing • Data Infrastructure & Pipeline Execution: Develop and maintain robust ETL pipelines, data models, and data controls using GCP, BigQuery, dbt, and Cloud Composer. You will ensure a clean, reliable single source of truth for the wider Risk organization. • Tooling & Process Optimization: Build intuitive custom UIs to directly support the Risk Operations team, making their day-to-day tasks and case management workflows faster and easier. • Actionable Dashboarding: Design, build, and maintain Looker dashboards that reduce manual ad-hoc requests and accelerate cross-functional decision-making. • AI Innovation & Modeling Infrastructure: Build the data infrastructure required to run anomaly detection and credit risk models. You will also help the team innovate by integrating new AI-based tools into our risk decisioning workflows. • Cross-Functional Partnership: Act as the trusted data partner for the Risk Operations team. You will rapidly execute ad-hoc data requests, troubleshoot data issues, and translate complex engineering data into clear business insights. #OneTeam About You • Data-Driven Problem Solver: You have 2+ years of applied working experience in Data Science, Data Engineering, or Data Analytics, with a proven track record of successfully delivering cross-functional projects. • Technical Architect: Advanced SQL fluency is non-negotiable. You have a good understanding of database management, ETL pipelines, and data orchestration. • The Modern Tech Stack: You will be working hands-on with tools like GCP, BigQuery, dbt, Looker, Cloud Composer, Databricks, GitHub, and ReTool. Any prior experience with these, or similar cloud-based data platforms, will be considered a strong advantage. • Detail-Obsessed Storyteller: You are an excellent communicator who can distill complex, "messy" data into clear narratives. You care deeply about data quality and strict validation before presenting findings to non-technical stakeholders. #NoRoomForApproximation • Bonus Points: Domain experience in Payments, Fraud, E-commerce, or Credit Risk. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com, follow us on LinkedIn and Instagram
Data Engineer - Microsoft Fabric & BI
Location: Mauritius Contract Type: Permanent contract About BIA Job Description available in English BIA Group is active in the sales, rentals and after-sales services of equipment intended for public works, mines, quarries and transport. The Group operates in Europe, Africa and Asia and has more than 1500 enthusiastic employees. Summary Purpose of the job. • Provide technical expertise in the definition, review, and enhancement of business processes, data flows, and functional requirements to support business and reporting needs. • Design, develop, and develop BI solutions (data warehousing platforms, reporting tools, and other related technologies) on BIASAPS systems in line with the operational requirements of all BIA entities and approved specifications, while supporting business objectives and ensuring the reliability, efficiency, and scalability of BI services. • Apply and maintain relevant processes, procedures, work instructions, and technical specifications in compliance with defined quality standards and internal governance requirements. • Develop knowledge of relevant tools and technologies to support continuous improvement and ongoing enhancement of BI services within the BIA organization. What will be your responsibilities? • BI-Related Tasks (Project Mode) – On Time, In Full • Analyse business requirements to deliver data warehousing, lakehouse, and reporting solutions based on approved specifications. • Collaborate with functional teams and Data Stewards through workshops and discussions to gather, clarify, and validate requirements and define appropriate solutions. • Provide effort estimates and target delivery dates for BI reporting requirements. • Design, develop, and implement optimized BI reporting solutions in line with business needs and BI best practices. • Deploy reports and BI deliverables on the appropriate portals and platforms. • Prepare and maintain technical specifications for new or enhanced BI solutions in compliance with quality standards. • Review estimates as needed and escalate planning risks or constraints in a timely manner during the development lifecycle. • BI-Related Tasks (Maintenance Mode) • Troubleshoot and resolve incidents affecting BI systems to ensure continuity and reliability of reporting services. • Liaise with functional teams and Data Stewards, where necessary, to clarify issues and support effective resolution. • Maintain, correct, and enhance BI reports in accordance with established best practices and approved standards. • Contribute to maintaining an efficient and optimized BI reporting architecture. • Support the review and optimization of process chain schedules to ensure smooth and reliable operations. • Monitor data flows and take the necessary corrective actions as required to maintain service continuity. • Ensure that relevant processes, procedures, and work instructions are maintained and applied in line with defined quality standards. • Perform planned data load activities as required to support business and reporting operations. • Follow and Improve BI Processes • Follow set-up processes and assist in improving them. • Follow established methodologies during system development and ensure systems adhere to the standards and procedures established by the IT department. • Develop and maintain all system related processes, procedures, checklists, work instructions and specifications as per Quality standards for assigned tasks. • Customer focus - Identify areas for continuous improvements & implement corrective & preventive solutions. • Respect and apply the processes to ensure the security of data and compliance with ITIL standards. • Any other cognate duties Who are we looking for? • Degree in IT related fields • Fluent in French and English both oral and written • At least 3 years’ relevant working experience on BI Development • Strong functional & technical experience any BI tool being used at BIA (Datasphere, Microsoft Fabric, Power BI and any BI tool) • Good knowledge of the business processes in the SAP environment. What's in it for you? • A permanent contract • A competitive salary and an interesting package of extra-legal benefits • A human sized company with international dimension, encouraging autonomy and team spirit • Cooperate in a team with experienced and passionate colleagues within a successfully growing family-owned company • Benefit from a challenging career opportunity with an extensive training program • In this challenging job you get the possibility to take initiative and further develop the function • Disclaimer: As per BIA internal job classification, the internal job title is BIASAPS Technical Consultant BI.
A place to build useful ways of working with artificial intelligence.
A teaching approach aimed at usage, not knowledge.
Machine Learning Engineer
Key Responsibilities: • Adapt and deploy existing machine learning (ML) models. • Integrate processing pipelines into Airflow and through APIs (Investigation Center interface). • Prepare and transform data stored in MinIO and PostgreSQL. • Optimize PySpark code for generating monthly alerts. • Manage dependencies, sequences, and stages within ML workflows. Technical Environment: • Technologies: Airflow, GitLab, PySpark • Nice-to-have Technologies: MinIO, PostgreSQL, Jupyter, MLFlow Benefits: • Competitive salary and benefits package. • Opportunities for continuous learning and professional growth. • A collaborative and inclusive work environment. • Exposure to cutting-edge technologies and innovative projects. • Supportive leadership and career development programs. Required Skills and Qualifications: • 5+ years of experience in data engineering, ML Engineer or related roles. • Degree holder – Information Technology, Software Engineering, Data Science or any other related courses • Strong proficiency in PySpark and code optimization. • Knowledge of ML workflows, including the ability to manage dependencies and sequencing, as well as Airflow pipelines. • Good understanding of PostgreSQL databases and MinIO object storage. • Familiarity with GitLab and Jupyter. • Fluent in French and English (for international collaboration and communication).
Assistant - Digital, Data & AI Transformation - Technology Consulting - EY Mauritius
Assistant – Digital, Data & AI Transformation – Technology Consulting – EY Mauritius What if we didn’t focus on who you are now, but who you could become? Here at EY, you will have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. Join us and build an exceptional experience for yourself, and a better working world for all. The Exceptional EY Experience. It's Yours To Build. You will experience ongoing professional development through diverse experiences, world-class learning and individually tailored coaching. That’s how we develop outstanding leaders who team to deliver on our promises to all of our stakeholders, and in so doing, play a critical role in building a better working world for our people, for our clients and for our communities. Sound interesting? Well this is just the beginning. Because whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. About The Job With a strong understanding of the end‑to‑end lifecycle of our client’s businesses, EY support organizations in shaping and delivering high‑impact initiatives that combine strategy, platforms, data, and advanced technologies. Our approach focuses on turning business intent into practical, scalable, and value‑driven outcomes while integrating digital strategy where it makes the most impact. The Digital Business Advisory (DBA) team works with leading organizations across the region to solve complex challenges across customer experience, data, analytics, automation, and AI‑enabled programs. As organizations increasingly adopt data‑driven and AI‑enabled decision-making, we are investing in talent that can support both analytical delivery and broader transformation initiatives. This is an excellent opportunity for early‑career professionals to gain hands‑on experience across data, AI and enterprise digital transformation programs, while building strong consulting, business and technology foundations. The Opportunity Technology Consulting is a fast‑growing service line within EY, supporting large‑scale enterprise programs across Digital, Data, and AI. Within this, the Digital Business Advisory (DBA) practice plays a key role in enabling digital and AI transformation programmes, from shaping strategy to supporting implementation and value realization. As an Assistant, you will collaborate closely with experienced consultants across multiple engagements, contributing to AI use‑cases, AI governance, process reengineering and digital transformation programmes while developing exposure to real client environments. This role offers the opportunity to: • Work on enterprise AI and transformation initiatives • Gain hands-on exposure to AI use cases, data‑driven insights and process optimisation. • Build foundational skills in data, digital journeys/workflow, business processes and use‑case structuring. • Develop awareness of data quality, AI governance and controls required to scale AI initiatives. • Work alongside consultants, analysts, and technologists to support end‑to‑end delivery of digital, data, and AI‑enabled programs. Your Key Responsibilities As an assistant, you will support initiatives across data analytics, digital transformation, and artificial intelligence. The role is suited to early‑career professionals or graduates who are keen to build strong foundations in data, technology, and AI while working alongside experienced consultants to deliver practical, business‑focused solutions. You will: • Engagement Support & Delivery - Support teams across different phases of client engagements, including research, analysis, documentation, and preparation of client deliverables. • Analytics & AI Use‑Case Support - Contribute to analytics and AI‑enabled initiatives, including use‑case identification, data classification, reporting automation, and basic AI applications/tools. • Business Requirements & Process Understanding - Assist in requirements gathering, workflow mapping, documentation of business and technical needs and process optimisation/re‑engineering analysis to support delivery. • Data Analysis & Visualisation - Assist in developing dashboards, reports, and visual outputs (e.g. Databricks, Power BI, Excel) to support decision-making and business insights. • AI Governance & Responsible AI Support - Contribute to activities related to AI governance, including awareness of data quality, controls, ethical considerations, and responsible AI practices under guidance. • Data Readiness for AI Initiatives - Support teams in assessing and strengthening data readiness for AI use cases, including data availability, quality, governance, and ownership considerations. • Client & Team Collaboration - Work with multi‑disciplinary teams across business, data, technology, and advisory functions to support delivery of end‑to‑end initiatives. • Deliverables & Communication - Prepare client‑ready presentations, dashboards, reports, and status updates with clear, structured, and insightful content. • Learning & Development - Build foundational knowledge in data, digital, AI, and consulting through on‑the‑job experience, training, and mentorship. To qualify for the role, you must have • Bachelor's degree, ideally in technology (Business with MIS, Computer Science, Computer Engineering, Information Systems or related fields) • Understanding of data and digital concepts with interest in AI and emerging technologies. • Basic understanding of workflows and core technology concepts (APIs, integrations & cloud platform) at a conceptual level, enabling effective collaboration with delivery teams. • Exposure to emerging technologies, AI tools and agents, automation concepts and modern digital platforms (academic or project experience accepted). • Interest or coursework in cloud platforms, data engineering, or AI ethics/responsible AI • Familiarity with Agile or project delivery environments • Strong analytical and problem‑solving skills, with attention to detail. • Clear and confident written and verbal communication with the ability to present information clearly and effectively. • Ability to work effectively in a team and manage multiple tasks and adapt in a fast‑paced consulting environment. • Proactive attitude with a strong willingness to learn and grow in Digital, Data and AI domains. What Working At EY Offers We offer a competitive remuneration package where you’ll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development. Plus, we offer: • Support, coaching, and feedback from some of the most engaging colleagues around. • Structured learning and certifications across digital, data, AI, and emerging technologies. • Opportunities to develop new skills and progress your career. • The freedom and flexibility to manage your role in a way that’s right for you. EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance. About EY As a global leader in Assurance, Consulting, Strategy and Transactions, Tax, we hire and develop the most passionate people in their field to help build a better working world. This starts with a culture that believes in giving you the training, opportunities, and creative freedom to make things better. So that whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. EY will recommend applicants to read our privacy statement prior to completing the pre application form: https://www.ey.com/en_gl/privacy-statement Join us in Shaping the future with confidence. Apply now Only shortlisted candidates will be contacted.
Data Engineer
WHO WE ARE: We think too much marketing isn’t us. It’s mass markets not audiences of one. Homogenous groups to be targeted, not individuals to be inspired. Segments to reach, not people with their own ideas and ambitions. It’s one size fits all and it’s dull. When it comes to individuals, we’re fierce. We stand up for individuality. We speak up against bland, broad-brush generalizations. We fight for solutions that adapt to the individual’s needs, beliefs, behaviors, and aspirations. And we commit to doing this in every aspect of our work for clients and their consumers. We actively foster an inclusive workplace where diversity and individual difference are valued and leveraged to achieve the agency’s vision. And most importantly we value every individual’s well-being. We are Fiercely Individual. HOW WE DO IT: At RAPP we are fiercely focused on the individual and how we can create value from every individual’s experience with a brand. We do this across three capability areas: customer centric consulting, creativity that inspires action and customer experience management. We're looking for someone with hands-on, business-oriented strategic and technical consulting to our clients for cloud infrastructure, automation solutions and solution architecture. In this role you will • Evaluate business needs, objectives and build algorithms and prototypes. • Responsible for designing, building, and supporting the components of data warehouse, such as ETL processes, databases, reports and reporting environments. • Conduct complex data analysis and report on results, analyze and organize raw data. • Identify opportunities for data acquisition by developing analytical tools and programs. • Collaborate with data scientists and architects on several projects. • Consolidate and optimize available data warehouse infrastructure. • Responsible for designing, building, and supporting the components of data warehouse, such as ETL processes, databases, reports and reporting environments. • Assembles performance statistics, analyzes them, and makes recommendations for improvements. • Establishes system documentation and ensures it is continually sustained. • Conceive analytics and business intelligence platform architecture for clients, including internal and third-party clients. • Collaborate with business and technology stakeholders in ensuring data warehouse architecture development and utilization. • Carry out monitoring, tuning, and database performance analysis. • Design, automate, build, and launch scalable, efficient and reliable data pipelines into production. • Perform root cause analysis and resolve production and data issues. What are we looking for? Besides a great attitude, You should have: • Experience and expertise with data models, data mining, and segmentation techniques • Experience with SQL database design • SQL Server Integration Service (SSIS) • Experience with programming languages (e.g. Java and Python) • Experience in combining raw data from different sources and conducting complex data analysis • Experience in building algorithms and prototypes and perform complex data analysis • Experience in design and implement ETL procedures for intake of data from both internal and external sources, as well as ensure data is verified and quality is checked • Experience in design and implement ETL processes and data architecture to ensure proper functioning of analytics, as well as client’s or third-party’s reporting environments and dashboard • Carry out monitoring, tuning, and database performance analysis • Minimum 1+ years of experience performing data warehouse architecture development and management • Minimum 4 years experience with technologies such as SQL Server, SQL Server Integration Service (SSIS), and stored procedures • Minimum 1+ years experience developing code, testing for quality assurance, administering RDBMS, and monitoring databases • High proficiency in dimensional modeling techniques and their applications • Minimum 1 + years experience in custom ETL design, implementation and maintenance • Advanced SQL skills is a must Requirements / Qualifications: • Desirable: Bachelor or master's degree in Computer Science or related technical field • Data engineering certification (preferable) • Ideally Intermediate English Proficiency (B2 reading, writing, and conversation).
Databricks Data Engineer
Join Accenture and help transform leading organizations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance. Role Summary We are looking for a Databricks Data Engineer with strong Python skills to design, build, secure, and maintain scalable data pipelines across cloud data platforms. The role will focus on developing robust data flows from heterogeneous sources into usable, reliable, and well-documented datasets that support analytics, reporting, and business use cases. The ideal candidate has hands-on experience with Databricks, Python, cloud data platforms such as Azure or AWS, and modern data engineering practices including data quality, monitoring, performance optimization, and operational support. Key Responsibilities: • Design, build, and maintain scalable data pipelines using Databricks and Python. • Develop data ingestion, transformation, and processing workflows from heterogeneous data sources. • Work with cloud data platforms, data lakes, middleware, and enterprise data ecosystems. • Ensure data pipelines are secure, reliable, performant, and scalable. • Implement monitoring, alerting, incident analysis, and optimization of data flows. • Support data quality processes, including validation, cleansing, completeness checks, and consistency controls. • Contribute to data modeling and transformation activities to make data usable for business and technical teams. • Recommend and implement appropriate technical solutions for data consumption, data modeling, and interoperability needs. • Maintain technical documentation, data flow diagrams, and development documentation. • Collaborate with business, analytics, architecture, and operations teams to deliver high-quality data solutions. • Participate in Agile delivery practices and contribute to continuous improvement of data engineering standards. Preferred Skills • Experience with Azure Data Factory, Azure cloud services, AWS data services, or similar cloud integration tools. • Knowledge of DataOps practices. • Experience with FinOps dashboards, cost optimization reporting, or data products supporting cloud cost management. • Experience with Power BI or other reporting/dashboarding tools. • Exposure to spec-driven development or AI-assisted development practices. • Familiarity with enterprise security, governance, and operational standards. Experience/Required Skills: • Strong hands-on experience with Databricks. • Strong programming experience in Python. • Minimum 4 years of experience in data engineering or data manipulation projects. • Experience designing and building ETL / ELT data pipelines. • Good understanding of data lakes, cloud data platforms, and modern data architectures. • Experience with Azure and/or AWS cloud environments. • Knowledge of data transformation methodologies and data modeling concepts. • Ability to write clean, maintainable, and well-documented code. • Good understanding of development methodologies and Agile delivery. • Experience with data quality, pipeline monitoring, performance optimization, and operational support. • Good communication skills in English; French is a plus depending on project context. Benefits: • Competitive salary and benefits package. • Opportunities for continuous learning and professional growth. • A collaborative and inclusive work environment. • Exposure to cutting-edge technologies and innovative projects. • Supportive leadership and career development programs. Accenture does not discriminate on the basis of race, religion, color, sex, age, non-disqualifying physical or mental disability, national origin, sexual orientation, gender identity or expression, or any other basis covered by local law.
Databricks Data Analyst
Join Accenture and help transform leading organizations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance. Role Summary We are looking for a Databricks Data Analyst with strong Power BI skills to support data-driven business initiatives by transforming business needs into reliable datasets, dashboards, reports, and analytical insights. The candidate will work closely with business stakeholders, digital teams, data engineers, and product teams to understand requirements, explore data, define data needs, build transformations, and create high-quality Power BI dashboards using data from cloud and Databricks-based environments. The ideal candidate combines strong analytical skills, hands-on experience with Databricks, Power BI, Power Query, and a good understanding of modern cloud data platforms, especially in a Microsoft Azure environment. Key Responsibilities: • Work with business stakeholders to understand, clarify, and formalize reporting, analytics, and data requirements. • Explore data from technical and functional perspectives to identify useful insights, quality gaps, and transformation needs. • Use Databricks to access, analyze, prepare, and transform datasets for reporting and analytical use cases. • Build, maintain, and optimize Power BI dashboards, reports, semantic models, and visualizations. • Develop Power Query transformations and support data preparation activities for BI solutions. • Define required data objects, attributes, data quality rules, and functional mapping between source data and reporting outputs. • Support conceptual and technical data modeling for BI and analytics use cases. • Contribute to backlog definition, prioritization, and delivery tracking in Agile/product mode. • Collaborate with data engineers, business analysts, product owners, and technical teams to deliver end-to-end BI solutions. • Participate in testing, validation, user acceptance, documentation, and move-to-run activities. • Prepare technical and functional documentation, including data models, report specifications, and dashboard guides. • Provide technical assistance to project teams and business users. • Ensure BI solutions are reliable, well-documented, scalable, and aligned with governance and quality standards. Preferred Skills • Experience with Databricks SQL, SQL analytics, notebooks, or lakehouse environments. • Knowledge of Azure Data Lake, Azure Data Factory, or other Azure data services. • Experience with Power Platform, especially Power Apps. • Exposure to Python or PySpark for data analysis is a plus. • Experience with data governance, GDPR, documentation standards, and move-to-run processes. • Experience delivering BI solutions from initial business need through production deployment. • Proficiency in French is desirable. Experience/Required Skills: • Minimum 4-5 years of experience as a Data Analyst, BI Analyst, Analytics Consultant, or similar role. • Hands-on experience with Databricks for data exploration, preparation, analysis, or transformation. • Strong experience with Power BI, including dashboard development, data modeling, report design, and publishing. • Good knowledge of Power Query and data transformation techniques. • Strong understanding of data analysis, data profiling, and data quality concepts. • Ability to define business requirements and translate them into technical data and reporting specifications. • Experience working with cloud data environments, preferably Microsoft Azure. • Good understanding of BI project lifecycle, including requirements, design, development, testing, deployment, and support. • Experience with Agile delivery, backlog management, and tools such as Jira. • Strong communication skills with the ability to interact with both business and technical stakeholders. • Good written and spoken English. Benefits: • Competitive salary and benefits package. • Opportunities for continuous learning and professional growth. • A collaborative and inclusive work environment. • Exposure to cutting-edge technologies and innovative projects. • Supportive leadership and career development programs. Accenture does not discriminate on the basis of race, religion, color, sex, age, non-disqualifying physical or mental disability, national origin, sexual orientation, gender identity or expression, or any other basis covered by local law.
Databricks Engineer
At Accenture, you'll help leading organizations harness the power of data to solve complex business challenges and accelerate digital transformation. Working on international projects, you'll design and build modern cloud data platforms while collaborating with multidisciplinary teams and leveraging cutting-edge technologies. Overview We are looking for a Data Enginee r with strong expertise in Databrick s and Pytho n to design, build, and optimize scalable data solutions across modern cloud platforms. In this role, you will develop secure, reliable, and high-performance data pipelines that transform data from multiple sources into trusted datasets for analytics, reporting, and AI initiatives. Working closely with Data Analysts, Architects, and Product Teams, you will ensure data is accessible, scalable, and aligned with business needs. Responsibilities • Design, develop, and maintain scalable ETL/ELT pipelines using Databric ks and Python • Build data ingestion, transformation, and orchestration workflows from structured and unstructured data sources • Develop cloud-native data solutions using Azure and/or AWS . • Ensure data pipelines are secure, scalable, reliable, and optimized for performance. • Implement monitoring, alerting, logging, and operational support processes • Apply data quality, validation, and consistency controls across data pipelines • Contribute to data modeling and transformation activities to support analytics and business applications. • Produce technical documentation, including architecture diagrams and data flow documentation.Collaborate with Data Analysts, Architects, and Product Teams to deliver end-to-end data solutions. • Participate in Agile ceremonies and contribute to continuous improvement initiatives. Experience & Qualifications • 4+ years of experience in Data Engineering • Strong hands-on experience with Databricks . • Strong programming skills in Python . • Experience designing and developing ETL/ELT pipelines. • Experience with Azure and/or AWS cloud platforms. • Good understanding of modern data architectures and lakehouse concepts. • Experience with data quality, monitoring, and performance optimisation. • Familiarity with Agile delivery methodologies • Strong communication skills in English. French is mandatory Preferred Skills • Experience with one or more of the following: • Azure Data Factory • Azure Data Lake Storage • AWS data services • PySpark • DataOps and CI/CD pipelines • FinOps reporting or cloud cost optimisation • Enterprise data governance and security standards
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Machine Learning Engineer (Maurice)
About The Team As a Machine Learning Engineer within Zillow’s Rich Media Virtual Staging AI team, you’ll join a group focused on helping people better understand homes through immersive, AI-powered experiences. The team works on turning photos, video, and spatial signals into structured representations that power customer-facing products used by millions of shoppers. Within Rich Media, the VSAI team is building systems that transform home media into products that enrich the understanding of a home. About The Role This is a high-impact individual contributor role for someone who loves operating at the intersection of modeling and systems. As a Machine Learning Engineer, you’ll help shape how Zillow builds production-grade machine learning systems for rich media experiences, partnering across applied science and engineering to turn promising ideas into reliable, scalable product capabilities. You Will Get To: • Productionalization: Owning the transition from research code to production-ready and optimized models. Establishing CI/CD pipelines that allow scientists to deploy models in short iteration cycles. Innovating upon our existing monitoring systems that make our services reliable and give scientists insight into the performance of their models in production. Designing services to expose ML models to Zillow’s end customers • Data: Good data is key to many SOTA ML methods. You will own our team’s datasets, lead and support data engineering projects, understand datasets from other teams, and collaborate with scientists and other teams to prepare them for model training. • Training & Experimentation: Owning projects and supporting scientists in running large-scale training and data processing by collaborating with them on specific projects, establishing generalized best practices, and sharing expertise around performance and software engineering principles, while leveraging AI coding and productivity tools. • Modeling: Staying on top of cutting-edge research (for example, on platforms like Arxiv, X, and Papers With Code) and modifying its methods for our use cases in innovative ways to enable new product experiences or improve existing ones. • Dev & MLOps: Establishing best practices around code quality, testing, and ownership that allow us to move fast without compromising reliability (and sleep). Participating in our existing on-call rotation This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice, which must be identified to the Company. U.S. employees may live in any of the 50 United States, with limited exceptions. In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location. Employees in this role will not be paid below the salary threshold for exempt employees in the state where they reside. Who you are • You have 1-3 years professional experience building and shipping machine learning models or ML-powered systems in production. • You have strong hands-on proficiency in Python and at least one modern machine learning framework, such as PyTorch, JAX or TensorFlow. • You have hands-on experience with cloud platforms (AWS, GCP) and container orchestration (Kubernetes) • You have experience with data engineering tools and building robust data pipelines (e.g., Spark, Airflow, streaming systems) • You have experience using backend code languages such as TypeScript or Go to fully implement ML-powered systems end-to-end • You have experience building and operating end-to-end machine learning workflows, including data pipelines, model training, evaluation, deployment, and monitoring. • You have a strong foundation in machine learning fundamentals such as representation learning, structured prediction, computer vision, optimization, and failure analysis. • You are comfortable debugging model and system behavior in real-world environments and using metrics, logs, and experiments to improve outcomes. • You collaborate effectively with applied scientists, software engineers, and product partners in ambiguous, cross-functional settings. • You have strong engineering judgment and know how to balance experimentation with reliability, speed, and long-term maintainability. • You communicate technical ideas clearly and can influence decisions across disciplines. Nice to have • Experience in computer vision, spatial data, 3D, AR/VR, or related domains is a plus. Get to know us At Zillow, we’re reimagining how people move—through the real estate market and through their careers. As the most-visited real estate platform in the U.S., we help customers navigate buying, selling, financing and renting with greater ease and confidence. Whether you're working in tech, sales, operations, or design, you’ll be part of a company that's reshaping an industry and helping more people make home a reality. Zillow is honored to be recognized among the best workplaces in the country. Zillow was named one of FORTUNE 100 Best Companies to Work For® in 2025, and included on the PEOPLE Companies That Care® 2025 list, reflecting our commitment to creating an innovative, inclusive, and engaging culture where employees are empowered to grow. No matter where you sit in the organization, your work will help drive innovation, support our customers, and move the industry—and your career—forward, together. Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact your recruiter directly. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state and local law. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Data Scientist
About The Role Own the creation of decision‑grade intelligence products by applying advanced analytics and statistics to transform complex multi‑source data into trusted, monetizable customer offerings Key Responsibilities Analytics & Modelling • Design, build, validate, and maintain predictive and prescriptive models across travel, risk, and location domains • Apply statistical methods, machine learning, and experimentation to improve data accuracy, completeness, and trust • Develop domain‑specific metrics, benchmarks, and risk scoring frameworks Product & Commercial Responsibilities • Translate customer problems and market needs into analytical solutions and data products • Partner with Product Managers to define value propositions, pricing inputs, and success metrics • Contribute to roadmap prioritisation based on impact, feasibility, and monetisation potential Data Quality, Governance & Ethics • Define data quality rules, validation logic, and anomaly detection mechanisms • Ensure alignment with privacy, consent, and ethical AI standards in regulated environments • Support lineage, explainability, and auditability of analytical outputs Collaboration & Delivery • Work closely with Data Engineers to ensure model‑ready, reliable data pipelines • Collaborate with Machine Learning Engineers to operationalise models at scale • Communicate insights and recommendations clearly to technical and non‑technical stakeholders Job Profile – Required Skills And Knowledge • 7-8+ years' experience in applied data science roles • Strong proficiency in Python, SQL, and ML libraries • Ability to translate data into presentable stories. • Experience delivering customer‑facing, revenue‑generating data products Required Qualifications • Bachelor’s degree in computer science, Engineering, Information Systems, or related field • MS in AI, Big Data or relevant fields.
Data Engineer F/H
Freeland est un groupe international spécialisé dans les solutions dédiées aux talents indépendants et aux entreprises. Présent en Europe et à l’international, le groupe accompagne les organisations dans la gestion, le sourcing et l’intégration de talents externes, tout en développant des solutions innovantes autour du freelancing, de la transformation des organisations et de la gestion des compétences. Dans un contexte de forte croissance, Freeland renforce sa stratégie data afin de fiabiliser, structurer et valoriser ses données au service du pilotage de ses activités, de l’optimisation de ses offres et de la prise de décision. Le Data Engineer est rattaché au Responsable du pôle CRM, Data et IA. Il joue un rôle central dans la conception, la construction et l’évolution de la plateforme data du groupe. Son objectif est de collecter, intégrer, transformer et fiabiliser les données afin de mettre à disposition des équipes des jeux de données robustes, exploitables et sécurisés. Missions principales • Développer les pipelines d’ingestion et de transformation de données dans Microsoft Fabric • Créer des traitements de données en Python via des notebooks • Structurer et fiabiliser les données issues des outils CRM, ERP, comptables et métiers • Construire et faire évoluer les modèles de données et modèles sémantiques pour les usages BI • Mettre à disposition des Data Analysts des datasets propres, documentés et exploitables • Industrialiser les premiers flux existants : performance, monitoring, gestion des erreurs, documentation • Participer aux travaux de qualité de données : contrôles, nettoyage, normalisation, rapprochements • Collaborer avec les équipes Data, IT et métier dans un contexte de construction progressive de la plateforme data Profil recherché • Bac +3 minimum en informatique, data engineering, systèmes d’information ou école d’ingénieur avec spécialisation data • Minimum 4 ans d’expérience sur un poste de Data Engineer, Data Developer ou équivalent • Expérience significative dans le développement de pipelines de données, les traitements de transformation et l’industrialisation de flux • Expérience ou forte appétence pour l’écosystème Microsoft Fabric • Une expérience dans un environnement en structuration ou en construction de plateforme data est un plus Compétences techniques • Très bonne maîtrise de SQL • Bonne maîtrise de Python, notamment pour le développement de traitements de données via notebooks • Expérience dans la mise en œuvre de pipelines d’ingestion et de transformation de données • Connaissance des modèles de données, des modèles sémantiques et des besoins liés à la Business Intelligence • Bonne compréhension des enjeux de qualité de données, fiabilisation, normalisation et rapprochement • Capacité à industrialiser des flux de données : monitoring, gestion des erreurs, documentation, optimisation des performances • Bonne compréhension des architectures data modernes : data warehouse, data lake, lakehouse • Une connaissance de Power BI est un plus • La maîtrise de Git ou d’un outil de versioning est appréciée Outils pouvant être utilisés sur le poste • Microsoft Fabric • Python • SQL • Notebooks • Power BI • Lakehouse • Outils CRM, ERP, comptables et métiers • Git • Outils de monitoring et d’orchestration de flux Qualités personnelles • Autonomie et sens des responsabilités • Rigueur et exigence sur la qualité des données • Esprit analytique et capacité de structuration • Capacité à évoluer dans un environnement en construction • Bon relationnel avec des interlocuteurs techniques et métiers • Esprit d’équipe et sens du service Indicateurs de performance • Fiabilité et qualité des datasets mis à disposition • Performance et stabilité des pipelines développés • Niveau d’industrialisation et de documentation des flux • Réduction des anomalies et amélioration de la qualité des données • Adéquation des modèles de données avec les besoins BI et analytiques • Capacité à accompagner efficacement les Data Analysts et les métiers Informations pratiques • Localisation : Beau Plan, Pamplemousses • Horaires : • Lundi à jeudi : 10h – 19h • Vendredi : 9h – 18h • Télétravail : 1 jour par semaine (mercredi) après 3 mois d’ancienneté • Mobilité : Idéalement véhiculé(e) • Navette du soir disponible : • Grand Baie – Cap Malheureux – Bain Bœuf – Goodlands (Terminus) • Beau Plan – Port-Louis (Terminus) • Date de prise de poste : dès que possible (préavis accepté) • Salaire : 50K – 60K fixe + variable
Data Engineer
About The Role Design, build, and operate the unified data platform and domain pipelines that underpin scalable, trusted, and monetisable data products. Key Responsibilities Data Platform & Pipeline Engineering • Design and implement batch and real‑time ingestion pipelines from internal and external sources • Build and maintain cloud‑native data lake and warehouse architectures • Ensure high availability, performance, and cost efficiency of data infrastructure Data Quality, Governance & Reliability • Implement automated data quality checks, observability, and SLA monitoring • Support master data management, metadata, lineage, and access controls • Embed security, privacy, and compliance controls into the platform by design Enabling Analytics, ML & APIs • Optimise datasets and pipelines for analytics, ML training, and API consumption • Work closely with Data Scientists and ML Engineers to support feature and model needs • Enable self‑service data access patterns for downstream teams Continuous Improvement & Scale • Continuously improve performance, scalability, and reliability of pipelines • Introduce modern tooling and standards to reduce operational overhead • Contribute to long‑term platform roadmap and AI readiness Job Profile • 5+ years experience in data engineering or platform roles • Strong experience with SQL, Python, Spark, and cloud platforms (AWS, Azure, or GCP) • Experience operating data platforms in production at scale Required Qualifications • Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field • MS in Big Data, AI or relevant fields • Certifications such as PMI‑ACP, PMP, SAFe, CSM, or equivalent are beneficial
Data and AI Engineer - Junior
Role Overview We are looking for a motivated Junior Data and AI Engineer to join our technology team. This role is designed for a recent university graduate who is eager to build a career in data engineering, artificial intelligence, machine learning, and cloud-based analytics. As a Data and AI Engineer, you will support the design, development and deployment of data-driven solutions that help organizations make better decisions, automate processes, and create intelligent digital products. You will work with experienced engineers and business teams to learn industry best practices while contributing to real projects. Key Responsibilities • Collect, clean, and transform data • Support development of data pipelines, dashboards, and AI/ML models • Work with cloud platforms, databases, and data tools • Write clean, maintainable code • Assist in testing, debugging, and optimization • Apply basic data privacy and responsible AI principles \ At Accenture, you’ll gain real project experience, continuous learning, mentorship, and career flexibility —plus benefits like fully funded medical cover, year-one leave, recognition rewards, and more. Required Skills And Qualifications • Degree in Computer Science, Data Science, AI, or related field • Basic programming in Python, SQL (or similar) • Understanding of data structures and basic ML concepts • Interest in cloud and data technologies • Strong analytical and teamwork skills • Eagerness to learn and grow in AI/data engineering Preferred Experience • Projects, hackathons or coursework involving data, AI, analytics or software development. • Exposure to tools such as Git, Jupyter Notebooks, Power BI, Tableau, Java, Spark, Databricks, TensorFlow, PyTorch or scikit-learn would be a plus. • Basic understanding of data visualization, ETL/ELT processes and model evaluation. • Interest in Gen AI, LLM, responsible AI or intelligent automation. Accenture does not discriminate on the basis of race, religion, color, sex, age, non-disqualifying physical or mental disability, national origin, sexual orientation, gender identity or expression, or any other basis covered by local law.
Senior Data Engineer
Company Description Publicis Global Delivery (PGD); Publicis Groupe’s industry leading globally connected capability platform. Where talent, technology & operations combine to delivery amazing solutions for our clients. Expertise across Media, Data, Technology, Commerce & Production in all regions of the world. PGD is comprised of the best talent, and ways-of-working, which enables global scale, innovation and transformation, each day. Culture, growth and wellbeing underline all aspects of Publicis Global Delivery. #WeArePGD Overview Publicis Global Delivery (PGD) is looking for a Senior Data Engineer to join its growing Data team supporting international clients. In this role, you will be responsible for designing, building, and maintaining scalable data systems, ensuring high data quality, and contributing to advanced data-driven solutions. You will also play a key role in supporting operations and mentoring junior team members. Responsibilities • Develop, maintain, and optimize data pipelines and data systems • Transform and transfer data across multiple platforms and environments • Monitor workflows and ensure data accuracy, consistency, and quality • Handle complex data-related issues and provide technical solutions • Support L2 requests and perform operational data activities • Contribute to data governance and continuous improvement processes • Analyze workflows and identify efficiency improvements • Mentor and support junior team members • Collaborate with internal stakeholders and ensure clear communication Qualifications • 5–7+ years of experience in Data Engineering or Data Support roles • Strong experience with data platforms, data lakes, and data architectures • Advanced knowledge of SQL (e.g., Spark SQL, T-SQL, PL-SQL) • Good knowledge of Python / PySpark • Strong understanding of data transformations and data quality management • Experience in data governance and workflow monitoring • Familiarity with tools such as Jira, Confluence, and Power BI Nice To Have • Experience with Azure Databricks, Azure DevOps, Snowflake • Knowledge of cloud storage solutions (S3, Azure Blob Storage) • Experience with APIs and tools such as Postman Soft Skills • Strong analytical and problem-solving skills • Excellent communication and stakeholder management • Proactive, autonomous, and well-organized • Ability to manage complex environments and escalate when needed Additional Information • Location: Mauritius • Seniority level: Mid-Senior • Start date: September 2026 • Work in an international and dynamic environment • Opportunity to collaborate with global clients and cutting-edge technologies • Continuous learning and career development opportunities within PGD
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Senior BI & Data Warehousing Developer
Spoon Consulting Ltd is a leading Mauritian company driving digital transformation with passion and precision. With a turnover of €15M and a talented team of over 250 professionals across Mauritius and Madagascar, we deliver cutting-edge technology solutions that exceed client expectations. Our culture of innovation and continuous improvement keeps us at the forefront of the tech landscape. The Role We are looking for an experienced Senior BI & Data Warehousing Developer to join our growing Data & Analytics practice. You will play a key role in designing and implementing modern Business Intelligence solutions, developing enterprise data warehouses, building scalable ETL pipelines, and delivering insightful Power BI dashboards that support strategic business decisions. You will work closely with business stakeholders, project managers, and technical teams to transform business requirements into high-quality analytics solutions while promoting BI best practices across client engagements. Key Responsibilities • Design, develop, and maintain enterprise Business Intelligence solutions using Power • BI and Microsoft Fabric. • Design and implement scalable Data Warehouses, Data Marts, and semantic models. • Develop and maintain ETL/ELT pipelines using SSIS, Microsoft Fabric Data Factory, or • equivalent integration tools. • Build interactive Power BI dashboards and executive reports using DAX, Power • Query, and advanced data modelling techniques. • Integrate data from multiple sources including SQL Server, Oracle, Dynamics 365, • Business Central, ERP systems, cloud applications, and APIs. • Perform data cleansing, transformation, and validation to ensure data quality and • consistency. • Configure and maintain Power BI Service workspaces, gateways, security, and Row- • Level Security (RLS). • Collaborate with business users to gather requirements and translate them into • scalable analytical solutions. • Produce technical documentation, user guides, and data models. • Participate in solution demonstrations, proof of concepts, and pre-sales activities. • Contribute to BI governance, performance optimization, and continuous improvement initiatives. What You Bring • Bachelor degree in Computer Science, Information Systems, Data Engineering, or a related field. • 5+ years of experience in Business Intelligence, Data Warehousing, or Analytics • development. Strong experience with: • Microsoft Power BI • DAX • Power Query • SQL • ETL Development • Data Warehouse Design • Data Modelling (Star Schema / Dimensional Modelling) • Python is a plus • Experience integrating ERP systems such as Microsoft Dynamics 365 Business • Central, Oracle, SAP, or similar platforms. • Good understanding of Microsoft Fabric, Lakehouse, Data Warehouse such as Snowflake/Data Cloud, and modern analytics architectures. • Experience with Power BI Service administration, gateways, deployment, and • security. • Strong analytical, troubleshooting, and problem-solving skills. • Excellent communication skills with the ability to engage business stakeholders. • Experience working in Agile project environments. Why Join Spoon Consulting? • Work on enterprise BI, Data Warehousing, and Microsoft Fabric projects across • multiple industries. • Continuous learning, certification, and career development opportunities. Ready to Join Us? If you are passionate about Business Intelligence, Data Engineering, and helping organizations transform data into actionable insights, we would be happy to hear from you. Join Spoon help shape the future of data-driven decision-making.
Associate Data Architect
Join Accenture and help transform leading organizations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance. The Data Architect combines expertise in data modelling , functional analysis , and data engineering to design and maintain enterprise data structures. This role translates business needs into conceptual, logical, and physical data models , working with Data Engineers , Functional SMEs , and Product Owners in an Agile Scrum team . Proficiency in ETL/ELT, Python, PySpark, Agile practices , Jira , and Confluence is required for effective collaboration and documentation. Why You’ll Love This Role • Shape the Future of Data: Design models that power critical business decisions. • Collaborative Agile Environment: Work with Product Owners and Data Engineers in a Scrum team. • Hands-On with Modern Tools: Use Python, PySpark, SQL, and top modelling tools. • Career Growth: Progress toward a Senior Data Architect role. • Future-Proof Your Career: Data architecture remains a strategic, human-driven function even as technology evolves. Key Responsibilities: • Data Modelling: Create and maintain conceptual, logical, and physical models using ER, dimensional, and Data Vault frameworks. • Functional Analysis: Translate business requirements into data mapping and transformation rules. • ETL/ELT Collaboration: Work with engineers to implement models and validate logic in Python, PySpark, and SQL. • Data Governance: Maintain metadata, dictionaries, and ensure compliance with standards. • Stakeholder Communication: Bridge business and technical teams, using Jira and Confluence for Agile delivery. • Continuous Improvement: Apply best practices and stay updated on modelling and cloud technologies. Key Skills & Competencies: Technical Skills • Foundations in data modelling (ER, dimensional, normalization). • Good understanding of functional requirements gathering and mapping. • Knowledge of: • Python (data transformation logic) • PySpark (distributed compute basics) • SQL (querying, transformation logic) • Familiarity with ETL/ELT concepts and data pipeline orchestration. • Exposure to modelling tools (PowerDesigner, ERWin, Lucidchart, dbt). • Basic knowledge of databases (SQL & NoSQL) and cloud data platforms (Azure preferred). • Experience with Agile tools: Jira, Confluence Functional Skills • Ability to understand business processes, data flows, and KPIs. • Experience documenting functional rules, data mappings, and use cases. • Strong analytical, problem-solving, and communication skills. • Ability to collaborate with business stakeholders and technical teams in an Agile Scrum environment. Experience/Background: • Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related fields. • 1–3+ years of experience in data engineering, BI, functional analysis, or data management. • Exposure to ETL/ELT and cloud platforms (Azure/AWS/GCP). • Experience with Python or PySpark is an advantage. Benefits: • Competitive salary and benefits package. • Opportunities for continuous learning and professional growth. • A collaborative and inclusive work environment. • Exposure to cutting-edge technologies and innovative projects. • Supportive leadership and career development programs. If you are a passionate data engineer eager to make a significant impact at Accenture, we would love to hear from you.
New Graduate Talent Intake 2025/2026
• THIS JOB IS OPEN TO CANDIDATES IN MAURITIUS ONLY** Start your career at Accenture and make a real impact from day one. Join a global organization where learning never stops, ideas are valued, and diversity is celebrated. As a Reinventor, you’ll work with inspiring people, grow your skills, and be empowered to be your true self while helping shape a more inclusive, innovative future. Launch your career with Accenture Technology , where business, technology, and AI come together. Depending on your interests, you will have the opportunity to develop your skills across a wide range of areas: Technical Skills: • Data Engineering & AI • Java, Full Stack & Angular • .NET • Testing & Automation • SAP ABAP Functional & Business Tracks: • Project Management (PMO) • Business Analysis • SAP Functional (Supply Chain, Sales & Distribution, Finance) While building your skills, you will gain real exposure to key business domains such as Banking & Finance, Energy, Constructions, Supply Chain, Mining and more . As Reinventors , we use AI and GenAI tools to work smarter, innovate faster, and create real impact, giving you the opportunity to learn, grow, and shape the future from day one. What are we looking for? • Team players who are excited to learn, collaborate, and grow together • Curious problem‑solvers who enjoy thinking creatively and finding smart solutions • A genuine interest in technology, digital innovation, and information systems • Strong communication and people skills to connect, share ideas, and work with diverse teams No need to know everything from day one. We value mindset, curiosity, and potential . At Accenture, learning never stops. From day one, you’ll grow through hands‑on project work, AI‑enabled learning tools, and continuous upskilling, while building strong business, technical, and professional skills. As Reinventors, we learn by doing, by experimenting with new technologies, collaborating with diverse teams, and gaining exposure across industries at international level. The variety of work and learning experiences gives you the freedom to grow fast, discover your strengths, and shape a future‑ready career. Thrilled to become a Reinventor? Apply now and begin your journey as a Reinventor , shaping what’s next for businesses and society. Not entirely sure this role is the perfect fit yet? That’s fine! If our culture and purpose resonate with you, we encourage you to apply and explore your career aspirations with us during the interview process. At Accenture, you’ll gain real project experience, continuous learning, mentorship, and career flexibility —plus benefits like fully funded medical cover, year-one leave, recognition rewards, and more. What academic qualifications do you need? • New graduates or with 6 months experience may apply • BSc Computer Science, Data Science, Artificial Intelligence, Information Systems, Software Engineering, Applied Computing or any related IT Degree • BSc Accounting, Finance, Management, STEM profiles and or any related Degree. Accenture does not discriminate on the basis of race, religion, color, sex, age, non-disqualifying physical or mental disability, national origin, sexual orientation, gender identity or expression, or any other basis covered by local law.
Data Set Curator (Maurice)
Dataset Curator Job Summary: We are seeking for a Dataset Curator who is responsible for designing, maintaining, and optimizing high-quality datasets for AI, Machine Learning (ML), and Large Language Model (LLM) projects. The Dataset Curator works closely with data scientists, AI trainers, and engineers to gather, clean, validate, and annotate datasets across multiple domains, ensuring the data supports robust AI model training and evaluation. The dataset curator must understand dataset diversity, bias detection, quality assessment, and metadata management. This role is critical to improving AI performance, dataset reliability, and data-driven decision-making. Key Responsibilities • Curate, collect, and structure datasets for AI and ML training purposes. • Validate dataset accuracy, completeness, and consistency. • Annotate and label datasets according to project-specific guidelines. • Identify and correct data inconsistencies, duplicates, and anomalies. • Maintain metadata and documentation for datasets. • Collaborate with AI trainers and data engineers to define dataset requirements. • Ensure datasets are ethically sourced and free from biases. • Continuously monitor dataset quality and propose improvements. Job Requirements Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Information Systems or related field. Proficiency in Excel, Google Sheets, SQL, and/or Python for dataset handling. Knowledge of data cleaning, normalization, and transformation techniques. Familiarity with data annotation tools and platforms. Understanding of structured, semi-structured, and unstructured datasets. Experience with database management and version control systems. Awareness of AI dataset ethics and bias mitigation. Required Certifications such as Google Data Analytics Certificate (advantage), Data Management or Curation Certification, AI/Data Annotation Training (optional but preferred) 3-5 years proven experience in dataset curation, data analysis, or data management roles. Experience handling large-scale datasets for AI, ML, or analytics projects.