Data Engineer

About the role

We are looking for a Data Engineer to join our Core Data team as we transform TheFork's data capabilities through the implementation of a modern, self-service Data Platform (DPaaS). In this role, you will design and build end-to-end data pipelines and contribute to evolving a platform that enables domain teams to autonomously produce and consume trusted data products. You will apply strong software engineering principles to data engineering, collaborate closely with platform stakeholders, and support the shift from a centralized BI model to a federated, domain-oriented data ecosystem.

Responsibilities

• Technical Contribution & Delivery
• Design and implement high-quality, production-ready data pipelines following software engineering best practices (version control, CI/CD, testing, observability).
• Build data collection, ingestion, validation, and export pipelines for various sources using modern data stack tools.
• Contribute to the refactoring of existing orchestration design in Airflow to support scalability and maintainability.
• Contribute to technical POCs to evaluate new technologies and architectural approaches for the platform.
• Collaborate with Architects, Staff Engineers, and the Engineering Manager to validate and evolve the target data architecture.
• Data Governance & Quality
• Implement data contracts and quality controls to ensure data products meet defined SLOs
• Apply data modelling best practices including medallion architecture to create trusted, reusable data assets.
• Support the implementation of domain ownership models and single sources of truth per capability.
• Ensure data lineage, observability, and metadata management are embedded in all pipelines.
• Enablement & Collaboration
• Contribute to building a strong developer experience (DevEx) to enable engineering teams to adopt self-service data capabilities.
• Work closely with DataOps to leverage CI/CD pipelines and infrastructure-as-code practices.
• Collaborate with BI and analytics engineering teams, who are the primary users of the Data Platform.
• Support engineering teams in onboarding new data use cases onto the platform.
• Build strong cross-team relationships to facilitate adoption and continuous improvement of the platform.

Requirements

• Technical Expertise
• Data Engineering Fundamentals
• Strong Python skills for building and maintaining data pipelines.
• Advanced SQL and understanding of performance basics.
• Experience building production-grade data pipelines.
• Good understanding of data modeling concepts (including medallion architecture).
• Data Platform & Warehousing
• Hands-on experience with Snowflake or another modern cloud data warehouse (e.g. BigQuery, Redshift, Databricks).
• Understanding of ELT patterns and how transformations are performed inside analytical warehouses.
• Familiarity with performance considerations such as partitioning, clustering, and query optimization basics.
• Orchestration & Integration
• Experience using Airflow orchestration tool to design and maintain DAGs.
• Exposure to modern data integration tools (e.g. Airbyte) is a strong plus.
• Understanding of API-based ingestion, database connectors, and schema evolution handling.
• Cloud & Infrastructure
• Practical experience with cloud services such as AWS S3 and IAM for instance.
• Familiarity with Infrastructure as Code (e.g. Terraform) is a plus.
• Understanding of CI/CD workflows and Git-based collaboration.
• Data Quality & Reliability
• Awareness of data validation and testing practices.
• Experience working with monitoring or observability tools is a plus.
• Basic understanding of data governance concepts (PII handling, access control).
• Execution & Autonomy
• Ability to break down complex technical problems into structured, actionable tasks.
• Strong ownership mindset with the ability to deliver end-to-end pipeline components.
• Product-oriented mindset with understanding of how data enables business value.
• Effective collaboration across engineering, product, BI, and data science teams.
• Eagerness to learn and continuously improve technical and platform knowledge.
• Minimum 3 years of data engineering experience.
• You will report directly to the Senior Data Engineering Manager and work in close collaboration with:
• DataOps team : who own

Additional Information

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

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