Data Engineer

TheFork
Bellprat, Spain
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Shift work
Languages
English
Experience level
Intermediate
Compensation
€ 60K

Job location

Remote
Bellprat, Spain

Tech stack

Airflow
Amazon Web Services (AWS)
Google BigQuery
Cluster Analysis
Databases
Continuous Integration
Directed Acyclic Graph (Directed Graphs)
Data Architecture
Data Validation
Information Engineering
Data Governance
Data Infrastructure
Data Integration
Dataspaces
Data Warehousing
Identity and Access Management
Python
Meta-Data Management
Query Optimization
Cloud Services
DataOps
Software Construction
Software Engineering
Sql Optimization
Snowflake
Grafana
GIT
Build Management
Core Data
Infrastructure Automation Frameworks
Information Technology
Data Lineage
Data Management
Api Design
Terraform
Software Version Control
Data Pipelines
Redshift
Databricks

Job description

TheFork is looking for a Data Engineer to join our Core Data team in Bellprat, Spain. You will be responsible for designing and building data pipelines that will assist in transforming TheFork's data capabilities., 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. Key Responsibilities

  • 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.
  • 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., 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

  • 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 resources to support mental health
  • 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

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.

Requirements

  • Minimum 3 years of data engineering experience.
  • Strong experience in designing and building data pipelines.
  • Familiarity with monitoring or observability tools.

Responsabilidades

  • Design and implement high-quality data pipelines.
  • Build data collection, ingestion, and validation pipelines.
  • Contribute to technical POCs for new technologies.

Conhecimentos

Python skills SQL Data modeling concepts Data validation practices Collaboration

Formação académica

Bachelor's degree in Computer Science or related field, * Strong Python skills for building and maintaining data pipelines.

  • Advanced SQL and understanding of performance basics.
  • 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.
  • 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.

Benefits & conditions

The ideal candidate will have a strong background in Python, SQL, and experience with data warehousing. We offer flexible working conditions and a competitive salary alongside benefits to support your wellbeing and professional growth.

About the company

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., We believe that we are better together, and we welcome you for who you are. We endeavor to ensure that everyone has the opportunity to reach their full potential. At TheFork, we want you to bring us your unique perspectives and experiences, so we can continue disrupting the restaurant industry. 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. Obtém a tua avaliação gratuita e confidencial do currículo

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