What you'll be doing

• Own a well-defined scope of batch pipelines end-to-end, building new Python workflows and improving existing ones for reliability, readability, and testability.
• Shape the use of Airflow and dbt to define, build, and operate the Unified Data Layer while keeping BigQuery workloads efficient and cost-aware.
• Ensure workflow reliability using tiers, SLOs, and runbooks and troubleshoot production issues.
• Own alerts and enhance the maturity of data quality checks, business-logic validation, and testing suites.
• Build self-serve tooling that enables analysts and data scientists to create analytical layers with less effort.
• Adapt codebases and workflows for agentic tooling to improve team productivity without compromising quality.

Requirements

• 3+ years of data engineering experience building production data workflows primarily in Python.
• Advanced analytical and OLAP SQL skills, ideally with BigQuery, including query performance tuning and cost management.
• Production experience with Airflow and dbt, including system reliability, data quality monitoring, and alerting.
• Daily use of coding agents (e.g. Claude Code) to scaffold DAGs and dbt models, with rigorous verification and full ownership of outputs.
• Strong engineering practices including unit and integration testing, code reviews, observability, and clear, maintainable code.
• Curiosity about business data, the ability to analyze data logic, explain results, and collaborate closely with analysts and data scientists.

Nice to haves

• Experience supporting recommendation, search, or machine learning data workflows.
• Exposure to stream processing technologies such as Flink or Kafka and understanding of batch vs. streaming trade-offs.
• Experience building self-serve data tooling for analysts or non-engineering users.
• Experience building custom agents or agent-based tooling for data engineering tasks.

Perks and benefits

• Hybrid work model with 2 days per week at the Berlin campus for team connection and collaboration.
• 27 days of holiday plus extra days on 2nd and 3rd year of service.
• Support for personal development including €1,000 educational budget, language courses, parental support, and Udemy Business access.
• Health benefits including checkups, meditation, and gym access.
• Financial benefits such as Employee Share Purchase Plan, Sabbatical Bank, public transportation ticket discount, life & accident insurance, and corporate pension plan.
• Food benefits including digital meal and food vouchers.
• Relocation support and resources for moving to Berlin.