Own data pipelines end to end: design, build, run, monitor, and troubleshoot.
Build and maintain Apache Airflow workflows.
Develop dbt models in Redshift, including incremental strategies and data quality tests.
Design and build lake-layer pipelines.
Manage cloud infrastructure and configuration.
Maintain CI/CD pipelines with secure cloud authentication.
Investigate and resolve production incidents using monitoring and alerting effectively.
Follow the typical new source flow end to end.

5+ years of data engineering or related experience.
Excellent knowledge of SQL and understanding of data warehouse concepts.
Hands-on experience in Redshift (or similar).
Hands-on experience with ELT/ETL flows using dbt and Apache Airflow.
Solid AWS experience across object storage, containers, managed ETL, and related analytics services.
Experience with Git, CI/CD, and Docker.
Proven ability to own projects from requirements gathering through production monitoring.
Strong operational mindset to troubleshoot systematically.
Ability to work independently while collaborating well with analytics and platform stakeholders.

Work from home up to 60% of the time.
Mobility support, whether you choose Swapfiets, Jobrad, or a Deutschlandticket.
Explore counseling assistance, be it for professional or personal matters, through our associated platform.
Pension scheme to secure your future.
15 days a year of workation from your desired destination within the EU.
Flexible working hours.
Learning budget of 1000 euros per year.
Company party once a year and several team events!

Senior Data Engineer – Data Platform

Key skills