The Role

As a part or full-time Senior Data Engineer (d/f/m) you will be empowering our battery analytics team using prefect, dbt, snowflake and AWS to enable data science using Python and result visualization using looker. You will be responsible for managing overall data pipeline orchestration and custom data integration to ensure that our data scientists and analysts can interact with a highly performant cloud-native data platform.

The Ask

• 2+ years of professional experience in data engineering, preferably in an agile development environment
• Experience in managing large data sets on cloud data warehouses, preferably snowflake and AWS
• Proficiency with Python, fivetran or stitch (or comparable) and dbt
  
• Experience with LookML would be a plus
  

The Offer

• Direct involvement with technologies which are at the forefront of the global energy transition
• An opportunity to experiment with one of the world’s largest (and constantly growing) battery operation datasets
• Powerful hardware and working environment/IDE of your choice
  
• A lovely office at the heart of Europe; with remote working possibilities
  
• Flexible scheduling and competitive salary
  
• 100% remote work possible