Build and maintain pipelines for our data platform: dbt models, Airflow DAGs, Airbyte connectors, BigQuery transformations.
Contribute to integrations and internal services.
Partner with Analysts and Data Scientists to make the platform something they can self-serve from with confidence.
Use AI with judgment.
Work hands-on with senior engineers.
Learn the business.
Raise the bar on quality.
Stay tool-agnostic.

Up to 1 year of previous work experience (internships, side projects or academic work all count)
Comfort with AI tools (Claude or similar) and an instinct to reach for them rather than around them
Strong communication skills in English. German is a plus.
SQL fundamentals: writing joins, window functions and CTEs.
Working Python skills: building a small data tool or script end-to-end.
Exposure to cloud (GCP, AWS or similar) and modern data tooling (dbt, Airflow or similar).
Any exposure to CI/CD, Infrastructure as Code, vector databases or integrating with business systems like ERP, Shop or Bank integrations.

Junior Data Engineer

Key skills