Senior Data Engineering Manager

Join to apply for the Senior Data Engineering Manager role at TheFork. 2 days ago Be among the first 25 applicants. Overview 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: our free restaurant discovery & booking app that helps you find your next table with ease. TheFork Manager: our innovative software tool that digitizes restaurant operations, empowering our restaurateurs to manage bookings efficiently and boost their revenue. TheFork PAY and TheFork Gift Card: quick and easy ways to pay directly from TheFork app.At TheFork, we also believe that people truly make the difference. None of this would be possible without our vibrant Forkies community. Our strong core values—Better Together, Ownership, Respect, and Growth—are the guiding principles of everything we do, shaping our behaviors: “Come as you are,” “Dig in,” and “Make it Memorable.” TheFork leads the restaurant booking market in Europe and operates in 11 countries. Our offices boast a fully international team working together in a flexible, multicultural, and constructive environment that provides everyone with space to grow, both professionally and personally. To learn more about TheFork and our Forkies, explore our official site: What You Will Do We are 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 who can lead and inspire teams to drive the future of data in our company. If you’re passionate about leading from the front and pushing boundaries, join us on this journey. You will lead 2 teams composed of Data Engineers and Data Ops to implement and maintain best practices in data processing, according to the Data Lakehouse approach. You will work closely with Data Governance, Product Management and Architects to drive platform improvements and support the ever evolving needs of data and engineering teams. You WillOwn the data platform roadmaps. Enhance and maintain robust batch ingestion and validation pipelines. Participate in our data transformation program taking direct ownership of the creation 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. Lead by example, fostering a culture of excellence and continuous improvement within the data engineering team, ensuring collaboration and alignment with broader business and product objectives. Mentor and upskill team members. Contribute to system architecture designs with Architects. Coordinate and run Proofs of Concept (POCs).You will directly report to the Head of the tribe. You Must Meet These Critical QualificationsProven 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 familiar with infrastructure as code (Terraform). Proficiency in Python, SQL, Snowflake, and Airflow. Experience with data modeling and knowledge of medallion architecture.You Can Impress With These AdditionsExperience with Apache Iceberg and Delta Lake. Realtime data processing at scale.What We Offer You