Data engineer (BI) - H/F/X

🇪🇸 Barcelona, ES На місці IT Опубліковано Кві 10, 2026

Подати заявку

ЛокаціяBarcelona, ES

Формат роботиНа місці

КатегоріяIT

IT-категоріяІнженер даних

МоваEnglish

Опубліковано10 квітня 2026 р.

Остання перевірка08 травня 2026 р.

Pioneer of online flash sales since 2001 and key player in European e-commerce, Veepee collaborates with over 7,000 brands to offer highly discounted products available for a limited time. Operating across various sectors, including fashion, home, wine, travel or beauty... Veepee achieved a turnover of 3.3 billion euros incl. VAT in 2024 and employs 5,000 staff members across 10 countries. 📄 Job Description At Veepee, we believe in the power of data. Our BI team's mission is to build the foundation that connects, empowers, and supports every Veepee user in making data-driven decisions. We are looking for a passionate Data Engineer to help us build and scale the infrastructure that makes this possible. Our data warehouse is built on GCP (Google BigQuery) and we use dbt, but we are constantly evolving; we recently added Trino to our stack. As a Data Engineer on our BI team, your primary mission will be to design, build, and maintain the scalable data pipelines and infrastructure that power Veepee's Business Intelligence ecosystem. You will play a crucial role in evolving our technical stack, ensuring its reliability and performance while paving the way for AI-driven capabilities. Develop and maintain high-performance Python-based services and APIs to support data integration, automation, and the operationalization of analytical models. Build REST APIs with Flask and flask_restful. Document and version APIs with Swagger or similar. Apply best practices: error handling, validation, authentication/authorization, automated testing, and observability. Own the orchestration, scheduling, and monitoring of data workflows and pipelines (e.g., using n8n or Airflow), ensuring data freshness and adherence to SLAs in collaboration with the Data Engineering platform team. Champion and implement software engineering best practices, including version control with Git (branching, PRs, code reviews) and CI/CD for automated testing and deployment of data pipelines. Collaborate with data governance, data engineers, data scientists, and data analysts in a young and international team (mainly based in Barcelona, Brussels, and Paris). You will be a key technical partner for BI Developer and End Users, ensuring they have access to clean, reliable, and timely data to generate valuable insights, based on an AI-first strategy. Core technologies in the role: Strategy (formerly MicroStrategy), Python, Google Cloud Platform (BigQuery), dbt, Git, workflow orchestration in n8n, and Swagger.