Lead Data & Automation Engineer

Expérience5+ years

LocalisationPlaines Wilhems District

TélétravailNon

Contratfull-time

NiveauConfirmé

FonctionIngénierie et Technologies de l’information

SecteurInvestment Management

Compétences recherchées

Data Integrity
Hands-on Technical
Emerging Technologies
Computer Science
Translation
Production Deployment
Databases
Data Warehousing
Management
Warehouse Operations

Responsabilités clés

Requirements & Solutioning
Run discovery with clients and internal stakeholders; turn business problems into clear problem statements and technical approaches
Produce requirements documents and technical proposals covering architecture, business rules, and user flows RPA & Automation
Design, build, and maintain automated business process pipelines (e.g. email/document workflows integrated with Microsoft 365 / Graph API)
Automate file transfer and sync between systems (e.g.
SharePoint)
Move automation triggers from scheduled/polling-based to event-driven (webhooks) Data Engineering & Warehousing
Build and maintain data pipelines for customer/transaction analytics and segmentation
Design ETL processes across databases, SharePoint, and APIs
Design fact/dimension models for reporting and manage model dependencies
Write and optimise SQL; diagnose and resolve data integrity issues Python Development
Develop and maintain Python services and integrations
Build reusable utility modules for common integrations (Microsoft Graph, SharePoint, etc.) Analytics & Power BI
Build Power — BI data models and dashboards; develop DAX measures
Analyse transaction and behavioural data to build customer segments (spend/frequency scoring)
Build curated targeting lists from raw data for marketing and business teams
Partner with marketing/business stakeholders to define audience segments and provide data-driven recommendations Machine Learning / AI
Evaluate, scope, and cost ML/AI services for production deployment, balancing infrastructure requirements against budget and performance needs
Integrate Large Language — Models (LLMs) into automation pipelines
Train, evaluate, and validate ML models using appropriate performance metrics and validation methods
Apply statistical methods and modeling techniques (regression, hypothesis testing, distribution analysis) to support data-driven decision-making and model validation Leadership
Act as Tech Lead across concurrent RPA and ML/data workstreams: scope, design, and make architecture and technology stack decisions
Guide and review the work of Python developers who implement solutions you design, and actively mentor them to grow their skills Candidate Profile, Behavioral Competencies & Required Skills The successful candidate should possess a strong combination of technical expertise, business acumen and leadership capability.
Qualifications & Experience · Bachelor's degree in Computer Science, Software Engineering, or a related discipline. · Minimum five years' experience designing and delivering enterprise automation, data engineering or software development solutions. · Strong hands-on experience with Python development in production environments. · Advanced SQL, data modelling and ETL development experience. · Experience developing Power BI data models, DAX measures and dashboards. · Experience integrating APIs and Microsoft technologies, including Microsoft Graph and SharePoint. · Hands on experience to Machine Learning solutions and LLM integration would be advantageous. · Experience leading technical teams or mentoring developers. · Experience working directly with clients and translating business needs into technology solutions.
Behavioural Competencies · Strong analytical and problem-solving capability. · Excellent communication and stakeholder management skills. · Customer-focused with strong consulting abilities. · Ability to simplify complex technical concepts. · Strong planning and organisational skills. · High level of accountability and ownership. · Continuous learning mindset with a passion for emerging technologies. · Ability to work independently while fostering collaboration across multidisciplinary teams.
Technical Skills - Python - SQL - Power BI (including DAX) - Microsoft 365 / Graph API - SharePoint - REST APIs - ETL / ELT - Data Warehousing - Git - AWS (working knowledge) - AI / LLM integration Interested candidates should send their application to the HR Manager on kannen.padiachy@gamma.mu no later than Monday 31 August 2026.
Kannen Padiachy — HR / Talent & Development Manager GammaTech Ltd 18 Bank Street, Cybercity, Ebene Email: kannen.padiachy@gamma.mu Phone number: 403 8000 / 403 8090 / 5763 1012 Displayed on 19 August 2026

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À propos de Gamma Civic Ltd

Lead Data & Automation Engineer GammaTech Ltd GammaTech Ltd, a leading player in the digital transformation space, is expanding its Data Engineering, Automation and Artificial Intelligence capabilities. As part of this growth, we are establishing a dedicated function and are seeking an experienced Lead Data & Automation Engineer to lead its development. A hands-on technical leadership role for someone who enjoys solving complex business problems through technology. You will work directly with clients to understand their challenges, design scalable automation and data solutions, and guide a team of developers through delivery - owning timelines, tracking progress, and reporting status to stakeholders. You'll serve as the technical bridge between clients, business stakeholders and developers, combining strong engineering capability with solution architecture, leadership and client engagement, while ensuring solutions continue to evolve as business needs change.

Plaines Wilhems District

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