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