Data engineer

The Group is building a shared Data Platform and a centralized Data Factory to industrialize data & AI use cases at international scale.

The operating model is federated: each country contributes to local execution while relying on a common foundation (standards, data models, patterns, tooling, and technical governance). In this context, the Local Data Engineer is the country-level “builder” profile. The role focuses on developing and operating data pipelines, delivering locally used datasets, and organizing a structured handover to Data Analysts for usage and functional evolutions.

Mission We’re looking for a Data Engineer who thrives on building robust, scalable data pipelines and turning complex data into high-quality, analytics-ready products. This is a hands-on role where you’ll design, build, and deploy end-to-end data pipelines — from ingestion and transformation through to modelling and exposure — ensuring they are production-ready, monitored, and optimised for performance and cost. You’ll work closely with Data Analysts to shape requirements and deliver clean, well-documented datasets that drive real business value. Clear ownership boundaries are key: you’ll own the engineering robustness and industrialisation, while Analysts focus on insight and impact.

Reporting & Organization (dual reporting)

Technical reporting

: Tech Lead Data / Data Architect (Data Factory)

→ standards, patterns, technical reviews, platform consistency, architectural arbitration. Functional reporting

: Local Head of Data (Country)

→ local priorities, allocation, business coordination, adoption, and satisfaction of local teams.

Daily collaboration with: Country Data Analysts, local business stakeholders, and the central Data Factory.

What You’ll Be Doing: Designing and deploying scalable data pipelines in Azure Transforming multi-source data into structured, analytics-ready datasets Ensuring reliability through monitoring, testing, and quality controls Applying best practices across CI/CD, Git, security, RBAC, and observability Contributing to a “build once, reuse across countries” Data Factory model Supporting smooth handovers to Data Analysts through documentation and knowledge sharing Tech Environment Azure-based data platform Batch and event-driven processing n8n (where relevant within the framework) Git, CI/CD, monitoring & alerting tools Data governance, security, and access management standards What We’re Looking For Depth of experience in data engineering Strong SQL and data modelling expertise Experience building and operating production-grade pipelines Cloud experience (Azure preferred) Comfortable working in a federated, multi-country environment A collaborative mindset and ability to partner effectively with Data Analysts This role would suit someone who enjoys combining technical depth with real business impact — building data products that are reliable, reusable, and built to scale.

Who Are Entegra:

Entegra is a performance improvement company and the world’s leading hospitality performance partner, helping clients buy better, operate smarter, and perform more sustainably. Leveraging over €36 billion in global purchasing power, we deliver savings, services, and operational excellence that drive client growth and impact. Part of the Sodexo Group, a global leader in Quality-of-Life Services, Entegra operates across 10 countries in North America, Continental Europe, and the UK & Ireland, employing more than 450 colleagues and achieving double-digit growth year on year. We’re committed to equity of opportunity and to fostering a culture that values the strength of a diverse workforce. As a Disability Confident Committed employer, we actively remove barriers to inclusion and ensure everyone has the chance to thrive. At Entegra, inclusivity drives performance — we create an environment where every colleague feels supported, valued, and empowered to succeed.

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