Experteer Overview

Si sus habilidades, experiencia y cualificaciones coinciden con las de esta descripción del puesto, no demore su solicitud.

As a Data Engineer on TheFork's Core Data team, you will design and build end-to-end data pipelines and evolve a self-service Data Platform (DPaaS) to empower domain teams. You’ll couple software engineering practices with data engineering to deliver trusted data products and enable a federated data ecosystem. You’ll collaborate with Architects, Staff Engineers and BI teams to shape the platform architecture and data governance.

This is a hands-on role at scale, offering impact across data ingestion, quality, and observability while advancing the company’s data-driven culture.

Compensaciones / Beneficios

- Design and implement production-ready data pipelines following software engineering best practices (version control, CI/CD, testing, observability)
- Build data collection, ingestion, validation, and export pipelines for multiple sources using modern data stack tools
- Refactor Airflow orchestration 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 Engineering Manager to refine the target data architecture
- Implement data contracts and quality controls to meet defined SLOs
- Apply data modelling best practices including medallion architecture to create trusted data assets
- Support domain ownership models and single sources of truth per capability
- Ensure data lineage, observability,



and metadata management are embedded in pipelines
- Build strong DevEx to enable self-service data capabilities
- Work with DataOps to leverage CI/CD and IaC practices
- Collaborate with BI and analytics teams as primary users of the platform
- Support onboarding of new data use cases and foster cross-team adoption
- Maintain strong cross-team relationships for platform improvement

Responsabilidades

- Data engineering experience with at least 3 years
- Strong Python skills for data pipelines
- Advanced SQL and performance basics
- Production-grade data pipelines experience
- Understanding of data modelling (medallion architecture)
- Hands-on experience with Snowflake or other cloud data warehouses (e.g., BigQuery, Redshift, Databricks)
- Understanding of ELT patterns and transformations in analytical xugodme warehouses
- Experience with Airflow DAGs and orchestration
- Familiarity with data integration tools (e.g., Airbyte) is a plus
- Cloud infrastructure exposure (AWS S3, IAM); IaC (Terraform) is a plus
- CI/CD workflows and Git-based collaboration
- Data quality, validation, and observability practices
- Basic understanding of data governance concepts (PII, access control)
- Ability to break down complex problems and own end-to-end delivery
- Product-oriented mindset and cross-functional collaboration

Requisitos principales

- Adaptable working (remote options)
- Permanent contract
- Competitive salary and bonus
- International, multicultural teams across Europe
- Life u0026 Disability insurance
- Parental and caregiver leave

📌 Senior Data Engineer (Barcelona)
🏢 Thefork
📍 Barcelona