Job Specifications
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.
Discover life at TheFork
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.
You will report directly to the Senior Data Engineering Manager and work in close collaboration with:
DataOps team: who own the Data Platform infrastructure
Architects: to ensure technical decisions align with enterprise architecture
BI teams, Engineering teams and Data Science teams: who are the main consumers of the platform
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.
Technical Expertise
You Must Meet These Critical Qualifications
Minimum 6 years of data engineering experience, including significant exposure to production-grade data platforms and cross-team leadership.
Data Platform & Architecture
Deep hands-on experience with a modern cloud lakehouse in production-grade environments (e.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.
Orchestration & Data Integration
Advanced proven experience with Airflow, including scalable DAG design, dependency management, and failure handling strategies.
Strong experience designing and operating production-grade ELT pipelines using modern integration tools (e.g. Airbyte or similar) or custom ingestion frameworks.
Experience designing self-service data platform capabilities is a strong plus.
Cloud & Infrastructure Engineering
Strong experience with AWS-based data architectures (S3, IAM, networking fundamentals).
Hands-on experience with Infrastructure as Code (e.g. Terraform).
Experience implementing CI/CD pipelines for data workflows.
Understanding of security-by-design principles in cloud data environments.
Data Quality, Governance & Observability
Experience implementing data quality frameworks, data contracts, and validation strategies.
Strong understanding of metadata management, lineage tracking, and monitoring practices.
Experience embeddin
About the Company
TheFork is the leading online restaurant booking platform in Europe. With more than 40 million downloads of its app, 20 million reviews posted by our active community and more than 20 million monthly visits, TheFork has become the essential platform for foodies to discover restaurants and book a table!
TheFork was acquired by the TripAdvisor group in May 2014, and has more than 55,000 restaurants across 11 countries.
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