Senior Data Engineer (H/F)

About Edenred

Every day, Edenred delivers innovative solutions to improve the lives of millions of people, connecting employees, companies, and merchants worldwide. We offer opportunities for growth in a multicultural, challenging, and dynamic environment. Dare to join Edenred and get ready to thrive in a global company that offers endless opportunities. Edenred is committed to meritocracy and to preventing all forms of discrimination, providing equal opportunities to all candidates.

Our Context

As a Senior Data Engineer, you will join the Data Tribe as an autonomous contributor, potentially becoming a referent for a business domain. This role is ideal if you enjoy owning data products end-to-end, from understanding business needs to running pipelines in production. You will work closely with product owners, remaining hands-on with Databricks and PySpark. Beyond building pipelines, you will ensure data solutions are robust, maintainable, production-aware, and deliver long-term value. This role offers real ownership, allowing you to shape how data is built and operated for your domain.

Our Data Team

The Data Tribe designs, builds, and operates data products that power reporting, business features, and decision-making across Edenred's B&E strategic platform. We work at the intersection of data engineering, analytics, and platform capabilities, focusing on reliability, production readiness, and business impact. Our data platform is built on Databricks. We aim to deliver data products that are technically sound, useful, trusted, and easy to consume. Within the tribe, engineers are encouraged to take ownership, collaborate, and continuously improve data operations.

Your Mission

As a Senior Data Engineer, based in Paris, your main responsibilities will be:

• Design, build, and maintain production-grade data pipelines
• Collaborate closely with business, product, and analytics stakeholders
• Translate business needs into scalable and maintainable data solutions
• Ensure data quality, reliability, and performance in production
• Monitor pipelines, handle incidents, and improve operational robustness
• Contribute to platform standards and best practices
• Proactively identify improvements in data models and processes
• Manage universal data with sharing (RLS, CLS, etc.) in a multi-BU context
• Act as the data engineering referent for a specific business domain upon acquiring sufficient knowledge

What success could look like:

• Data products for the domain are reliable, well understood, and trusted
• Production incidents are anticipated and resolved efficiently
• Product teams identify this role as a go-to data engineering contact
• The data platform gains stability and credibility

Expected Skills

You could be our next teammate if you have:

• Around 5 years of experience as a Data Engineer
• Ability to work autonomously on complex data topics
• Strong experience with Databricks and solid mastery of PySpark
• Proficiency in Git, SQL (advanced), Masking (RLS & CLS), Delta Lake/Unity Catalog, orchestration, data quality frameworks, and CI/CD pipelines
• Experience with platform monitoring (DataDog, Databricks dashboards)
• Experience with code review
• Involvement in architecture decisions
• Strong understanding of production environments (monitoring, failures, performance)
• Product mindset: focus on value, usability, and long-term maintainability
• Comfort in owning a domain and becoming a point of reference
• Good communication skills with both technical and non-technical stakeholders
• Pragmatic, delivery-focused mindset: Agile/Scrum, Pair programming
• Fluent spoken English (daily professional usage)

Other Details

• Base location: Paris (Issy les Moulineaux)
• Flexible working days (minimum 2 days on-site per week mandatory)

Apply now and Vibe with Us!