Join our Movement and Champion Restaurant Culture! 💚 At TheFork we believe that the best things in life happen around the table. As the leading restaurant booking platform in Europe, we connect the broadest community of loyal diners with the world’s favorite restaurants.

Powered by innovation and a deep passion for the restaurant industry, we create unique dining experiences across 11 countries. We’re part of the Tripadvisor Group and proud to be building a diverse, people-first culture where “respect”, “ownership”, “growth” and “better together” values thrive. If you’re passionate about food, technology, and making a real impact, your seat at the table is ready.

What You Will Do

: We are looking for a Senior Data Engineer to join our Core Data team and play a key role in transforming TheFork’s data capabilities through the implementation of a modern, self-service Data Platform (DPaaS). In this role, you will not only build scalable, production-grade data pipelines, but also contribute to designing and evolving the platform that enables domain teams to autonomously produce and consume trusted data products. You will apply strong software engineering principles to data engineering, help define governance standards, and actively contribute to shifting our organisation from a centralised BI model to a federated, domain-oriented data ecosystem.

Key Responsibilities

Technical Leadership Delivery Design and implement scalable, production-grade data pipelines following strong software engineering practices (version control, CI/CD, automated testing, observability). Lead the evolution of orchestration patterns in Airflow to improve scalability, reliability, and maintainability. Drive technical POCs to evaluate new tools, architectural patterns, and performance improvements aligned with the platform roadmap.

Contribute to shaping and validating the target data architecture in collaboration with Architects, Staff Engineers, and DataOps. Proactively identify system weaknesses and design for failure, defining mitigation strategies and resilience patterns. Data Governance Quality Implement and enforce data contracts and quality controls aligned with defined SLOs.

Apply data modeling best practices including medallion architecture to create trusted, reusable data assets Contribute to establishing domain ownership principles and clear single sources of truth. Ensure lineage, metadata, and observability mechanisms are embedded by design in all pipelines. Enablement Collaboration Drive technical alignment across teams through clear documentation, standards, and mentoring.

Partner with DataOps to ensure infrastructure, CI/CD, and platform automation at scale. Actively support product and engineering teams in adopting the platform, with a strong focus on developer experience. Build cross-functional relationships to accelerate adoption and drive platform impact.

Qualifications

Minimum 6 years of data engineering experience, including significant exposure to production-grade data platforms and cross-team leadership. g. Snowflake, Databricks , …).

Strong expertise in analytical data modeling (including medallion architecture) and safe schema evolution. Proven experience designing scalable, incremental ELT pipelines. Strong understanding of MPP systems and distributed data processing principles.

Performance Cost Optimization Experience optimizing query performance and compute cost in cloud data warehouses. Cost-aware design mindset.