Senior Data Engineer (w/m/d)

About This RoleAI processing…

Key Responsibilities

• 1
  0 → 1 and Beyond: Architect and build our greenfield data warehouse from scratch; take data infrastructure end-to-end.
• 2
  Core Data Pipelines: Build resilient ETL/ELT pipelines to fetch, clean, and transform massive amounts of financial data from messy third-party APIs and integrations.
• 3
  Integrity & Security: Establish rigorous data governance, quality checks, and security protocols to ensure absolute data integrity for highly sensitive financial & employee information.
• 4
  Leadership: Hire and mentor junior engineers (if interested); gain leadership experience as we grow.

Requirements

• 5+ years of data engineering experience, with a standout track record of scaling modern data infrastructure (such as BigQuery, Snowflake, Looker and dbt)
• A bachelor’s or master’s degree in computer science or a related field
• You have expert-level SQL skills, strong programming skills in Python and proven experience setting up modern cloud data warehouses and orchestration tools
• You have deep experience dealing with complex third-party APIs, rate limits and asynchronous data fetching
• You have experience with agent frameworks (such as LangChain) and RAG pipelines, and you use AI for nearly all coding tasks
• Very good written and verbal communication skills in English (min. C1), German is a plus
• You have a valid work permit to work in Germany

Perks & Benefits