Senior Data Engineer

October 26

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Description

•Our vision is to make a healthy and sustainable lifestyle the most attractive choice. •The Data Engineering team’s mission is to empower our users with trusted data that is easy to access, understand and use to support evidence-based business decisions. •As Senior Data Engineer, you are responsible for managing our tech stack, architecture, and data ingestion layer. •You will work in close collaboration with our data analysts as well as with delivery teams within the tech division. •You’ll be part of the engineering team, shaping the overall vision and direction of our data architecture.

Requirements

•Solid experience as a software- and/or data engineering (7+ years). Deep software engineering know-how, passion, and willingness to learn is more important than actual data engineering experience. •Ideally some experience with complex data modelling, ELT design, and using data lakes, as well as understanding and experience with Big Data technologies like Apache Spark and PySpark and corresponding AWS technologies. •Experience with languages like Python and SQL. •Ideally knowledge of data lake house architectures (Apache Iceberg, AWS Glue, S3, Redshift) and data management (Airflow, Fivetran, DuckDB). Experience with infrastructure provisioning tools (like Terraform) considered as a plus. •Ideally some experience with data mesh and domain-driven modelling. •Excellent verbal and written communication in English. Great interpersonal skills and ability to collaborate with a multicultural team.

Benefits

•🏖 30 days of vacation •🏷 discount on our products •💰 employer-funded pension & location related insurances (may vary per country) •🏡 purpose built office in MUC •📈 personal development •🎉 regular team events •🏁 start-up spirit •🌍 workation options (availability may differ by role)