Design, build and maintain data pipelines and integrations (streaming, batch, API-based) that feed our data products
Develop and maintain our Data Warehouse and contribute to data platform improvements
Ensure data quality, data governance and GDPR compliance
Architect scalable and secure solutions in GCP and BigQuery
Use AI tooling to accelerate development and explore where it can add value across our data work
Collaborate with stakeholders across technical and non-technical teams

At least 3 years of experience in data engineering or a similar role
Strong Python skills (e.g. Polars, Flask/FastAPI or similar)
Strong SQL skills — CTEs, window functions, complex joins
Hands-on experience with GCP or AWS, preferably GCP
Experience with Git and collaborative development workflows
Ability to manage and communicate with both technical and non-technical stakeholders
Experience with dbt and data modelling concepts (dimensional modelling, SCD etc.)
nice to have
Familiarity with CI/CD pipelines (GitHub Actions, CircleCI or similar)
nice to have
Experience with observability, monitoring and alerting for data systems
nice to have
Background in fintech or financial data
nice to have

Data Engineer

Key skills