Own and sequence the roadmap across the data platform, ERP and business systems integrations, plus the internal tools and services your team builds and runs.
Own the Single Source of Truth for the entire company so Analysts, Scientists and stakeholders across departments speak the same data language and use the same metrics.
Hire, mentor and grow 3 to 5 Data Engineers. Run clear goal-setting and feedback cycles.
Design and review core components: batch and real-time pipelines, modeling layers, integrations, governance, observability and CI/CD so Analysts, Data Scientists and other Engineering teams can self-serve with confidence.
Build internal services and tools to unblock the business.
Partner with Commercial, Finance, Product, Operations and Medical. Translate ambiguous business needs into systems and data products that move the company forward.
Create structure where there is none, sequence the work pragmatically and make the call when there is no obvious right answer.
Codify engineering standards for code quality, testing, reliability and incident response. Scale agentic coding and AI-assisted workflows so a small team can punch above its weight.
Evaluate, pilot and when needed retire technologies based on evidence rather than hype.

5+ years in data engineering or data platform roles, including 2+ years leading projects or people.
Deep SQL and strong Python. Production experience with Airflow, dbt or comparable frameworks.
Hands-on expertise with cloud warehouses (BigQuery, Snowflake) and at least one major cloud provider (AWS or GCP).
Proven CI/CD and IaC chops (GitHub Actions, Terraform or similar).
Solid grasp of data modelling, governance and observability patterns.
Experience integrating with or building against business systems such as ERP, Shop or even Bank integrations. You are comfortable owning that layer end to end.
A track record of working closely with Commercial, Finance, Operations or Analytics stakeholders and treating them as first-class partners.
A bias to action in ambiguous situations. You would rather make a reasonable call and adjust than wait for perfect information.
Hands-on fluency with agentic coding AI tools (like Claude Code) and a track record of using AI to accelerate engineering work.
Excellent English communication. German is a plus.
Bonus: exposure to AI/LLM workloads or vector databases on the production side.

30 paid vacation days, AMBOSS holiday, personal purpose day and more
Daily healthy breakfast & lunch by in-house chef in Berlin HQ, AMBOSS daycare, work remotely from other office spaces in Cologne, Sardinia, Cape Town
Urban Sports Club -M plan
, Fitbit Versa 3, Deutschland Ticket…

Team Lead – Data Platform

Key skills