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.
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 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 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
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
A place to build useful ways of working with artificial intelligence.
A teaching approach aimed at usage, not knowledge.
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.