Python Data Engineer (m/w/d)

You will work together with the growing data science team that consists of 5 people and the infrastructure team. The concrete project will be to rebuild a major machine learning pipeline - quite complex multi-step - that is used to calculate marketing budget allocations - they use it to continuously attract candidates automated on more then 50 sources. The modeling is already done, the client needs someone who helps to deliver and QA it on the way.

You should be experienced in:
- Delivering large pipelines using Apache Airflow as well as QA them and share your Python best practices with the team
- Building reliable well-tested systems, coordinating testing efforts to ensure the delivery of quality features (unit testing, integration testing, data quality checks)
- Cloud services (AWS is preferable), especially object storage (S3 or alternative) and columnar DB (Redshift or alternative)