Data Engineer

Data Engineer UK & I

Permanent

Hybrid/Remote, the role will require travel for key business meetings on a monthly basis. The location of the meetings can vary

The Role Mission & Responsibilities:

The Local Data Engineer designs, builds, and maintains the country’s data pipelines (ingestion → transformation → exposure). The role works closely with Data Analysts to frame requirements and deliver reliable, well-documented, and maintainable datasets, with a progressive transfer of ownership to analytics teams.

• Build end-to-end data pipelines: ingestion, cleansing, transformation, modeling, and exposure (datasets / tables / views).
• Industrialize data flows: error handling, retries, performance, scalability, and cost optimization.
• Deploy and operate pipelines in production (run, monitoring, fixes).
• Design “analytics-ready” datasets (stable, understandable, documented).
• Organize the handover through documentation, conventions, short training sessions, and progressive transfer of ownership on data usage and “light” functional evolutions (new fields, simple rules), within the agreed framework.
• Apply defined patterns and standards (naming, modeling, testing, security, documentation).
• Contribute to the “build once, reuse across countries” approach by sharing needs, patterns, and reusable improvements.
• Implement shared group data models and manage well-framed local extensions.
• Implement data quality controls (tests, validations, alerts) and ensure expected traceability

The Successful Candidate will possess the following skills and experience:

• Strong SQL skills, data modeling, pipeline development, and industrial best practices.
• Cloud experience appreciated (Azure preferred).
• Ability to work in a federated environment: local autonomy with strong group alignment.
• Strong collaboration skills with Data Analysts (framing, delivery, handover, pedagogy).
• Ability to translate technical process to non technical stakeholders

Success in this role will look like:

• Key pipelines built and running in production with reliability and observability aligned with standards.
• “Analytics-ready” datasets delivered with clear documentation and business rules.
• Effective handover to Data Analysts for usage and simple functional evolutions.
• Group consistency respected: reuse of shared models and patterns, controlled local extensions.
• Data quality under control and incidents managed efficiently.

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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