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Senior Data Engineering Manager

Pubblicato il 03-10-2026 - TheFork, a TripAdvisor in Milano

Join our Movement and Champion Restaurant Culture
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 practice

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