Senior Manager, Data Engineer

Senior Data Engineering Manager

At TheFork we believe that the best things in life happen around the table, and we are on a mission to connect the world’s favorite restaurants and the broadest community of loyal diners.

Finding the best dining experience for our diners community or boosting restaurant performance for our restaurateurs partners has never been easier thanks to our signature products:

TheFork App – a free restaurant discovery & booking app that helps you find your next table with ease.

TheFork Manager – an innovative software tool that digitizes restaurant operations, empowering our restaurateurs to manage bookings efficiently and boost revenue.

TheFork PAY and TheFork Gift Card – quick and easy ways to pay directly from TheFork app.

Our core values—Better Together, Ownership, Respect, Growth—shape everything we do and are reflected in our behaviors: “Come as you are,” “Dig in,” and “Make it Memorable.”

TheFork leads the restaurant booking market in Europe, operating in 11 countries. Our offices host a fully international team working in a flexible, multicultural, and constructive environment that provides space for professional and personal growth.

What you will do: We’re on a journey to revolutionize our data capabilities through the modernization of our Data Platform, unlocking insights and innovations that will power the company’s future.

We’re looking for a Senior Data Engineering Manager to lead and inspire teams to drive the future of data in our company. Lead 2 teams of Data Engineers and Data Ops to implement and maintain best practices in data processing according to the Data Lakehouse approach.

Work closely with Data Governance, Product Management and Architects to drive platform improvements and support evolving needs of data and engineering teams.

Own the data platform roadmaps.

Participate in our data transformation program, taking direct ownership of a self‑service data platform and contributing to the implementation of data governance principles.

Collaborate with engineering teams to implement engineering best practices within the data ecosystem.

Proven leadership and mentorship experience guiding data engineering teams.

Extensive experience with Data Lakehouse architectures and implementation.

Solid understanding of Data Mesh, including domain ownership, federated governance, and data product design.

Solid understanding of Data Governance and Quality, covering metadata management, data lineage, and data observability.

Proven experience using AWS services and familiarity with infrastructure as code (Terraform).

Proficiency in Python, SQL, Snowflake and Airflow.

Experience with data modeling and knowledge of medallion architecture.

Realtime data processing at scale (preferred).

Permanent contract.

Flexible working environment (2 days home office per week + up to 4 additional weeks of flexibility during summer and December; fully remote option).

Lifestyle benefits for physical and leisure activities, family support, travel.

Health insurance.

We endeavor to ensure that everyone—regardless of ability, age, socioeconomic & cultural background, ethnicity, faith, gender, gender expression, gender identity, ideology, national origin, race, sexual orientation, marital status, or any characteristic protected under applicable law—has the opportunity to reach their full potential. xrdbqlu If you have special needs and require reasonable support during your application, interview, or selection process due to health conditions or disability, please direct your inquiries to Our HR team will review the request and respond accordingly.

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