Senior Data Engineering Manager at The Fork

Paris, Ile-de-France, France -

Full Time

Start Date

Immediate

Expiry Date

10 Mar, 26

Salary

0.0

Posted On

10 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Leadership, Mentorship, Data Engineering, Data Lakehouse, Data Mesh, Data Governance, Data Quality, AWS, Infrastructure as Code, Python, SQL, Snowflake, Airflow, Data Modeling, Medallion Architecture, Apache Iceberg, Delta Lake

Industry

Software Development

Description

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: https://www.careers.thefork.com 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 will: Own 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 Qualifications 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 in general. 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 Additions Experience with Apache Iceberg and Delta Lake. Realtime data processing at scale. What we offer you: 😄 An awesome team 🏠 A permanent contract (that can be useful in life) ⚖️ Flexible working environment (2 days home office per week + up to 4 total weeks additional flexibility during the summer period and in December to work fully remotely) 💸 Competitive fixed salary & bonus 🍕 Lunch vouchers available for each working day 🌎 International teams and a multicultural environment spanning 10 offices across Europe 🤝Highly inclusive working environment 🤸‍♀️ Lifestyle benefits that can be used to reimburse expenses related to physical and leisure activities, family support, travel etc 🎓 Continuous learning and development programs 😌 Free access to the Calm app to help you build resilience wherever you are in your mental health journey 🐣Dedicated parental leave and caregiver leave policies (12 weeks fully paid) 🏥 Health insurance 👩‍🦽 Life & Disability Insurance at no cost to the employee 🍴 Amazing offices with dining, a coffee point on each floor, and leisure area 🎤 Team building events We believe that we are better together, and we welcome you for who you are. We endeavor to ensure that everyone - regardless of ability, age, socio-economic & 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. At TheFork, we want you to bring us your unique perspectives and experiences, so we can collectively continue disrupting the restaurant industry and go from good to great. TheFork is committed to a fair recruitment process. If you have special needs and require reasonable support during your application, interview, or participation in the selection process due to health conditions or disability, please direct your inquiries to AccessibleRecruitment@TheFork.com. Our HR team will review the request and respond accordingly #LI-FF1

Responsibilities

The Senior Data Engineering Manager will lead two teams to implement and maintain best practices in data processing, focusing on the Data Lakehouse approach. They will collaborate with various teams to drive platform improvements and support the evolving needs of data and engineering teams.