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 worlds favorite restaurants. Powered by innovation and a deep passion for the restaurant industry, we create unique dining experiences across 11 countries.

Were 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 youre passionate about food, technology, and making a real impact, your seat at the table is ready.

Discover life at TheFork

About the Role

We are looking for a Data Engineer to join our Core Data team as we transform TheForks 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.

Key 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.

Who you are:

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.

Experience

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 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

What we offer you:

An awesome team

A permanent contract

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 and bonus

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)

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

All hiring happens through our careers site and official email. We do not text or ask for payment during the hiring process. Please report any suspicious messages immediately.

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.