"Data platforms that run multi-country retail operations"
WHAT YOU'LL DO
- Build and optimize pipelines and models in BigQuery
- Design, maintain, and automate Airflow DAGs
- Develop clean, scalable Python data workflows
- Enhance and maintain a large GCP data ecosystem
- Work with analysts and data scientists to turn business needs into robust data solutions
- Own data quality, reliability, and operational continuity
- Contribute to long-term platform evolution
A mix of hands-on engineering, data-architecture thinking, and incremental modernization.
WHAT WE'RE LOOKING FOR
- Strong working experience with BigQuery
- Airflow
- Python
- Good understanding of GCP data services
- Strong SQL and data-modelling fundamentals
- Basic DevOps awareness: Kubernetes, service accounts, CI/CD fundamentals
Nice to have:
- Familiarity with ML models or MLOps concepts
Profile: hands-on, autonomous, and reliable in delivery; comfortable in a distributed, multicultural environment; equally at home in development and maintenance. A calm, structured execution style is a plus — this work values stability and clarity.
HOW WE HIRE
WHY EMPOWER BI
- Small, senior teams with full ownership of what they ship
- Work on some of the largest forecasting and supply-chain data programs in Europe
- Long-term programs with stable roadmaps — direct impact on how enterprises across ten-plus markets operate and decide
- We train like we deliver: structured internal enablement, including a bench of Claude Certified Architects
- Skill density over headcount, accountability over ceremony, outcomes over optics