Engineering Manager, Data & Analytics
HybridChemnitz, Saxony, Germany
Job Summary
Lead and develop a team of 4-5 engineers by coaching, unblocking delivery, and building a product-minded data engineering culture. Own the team's roadmap sequencing, negotiating priorities with product stakeholders and mediating between platform and product demands. Bring hands-on experience in data streaming to guide the team through an active transition while raising the bar on data modeling across the team. Drive the cultural and technical shift toward distributed data ownership and build the foundations for AI data governance, including guardrails, access control, and safety for agentic analytics. Collaborate with the broader staff engineering community on cross-cutting architectural decisions. This role requires a genuine player-coach mindset with strong stakeholder management skills and experience in a product-led B2B SaaS environment.
Required Qualifications
- Proven experience at Staff Engineer level (or equivalent) in a data engineering context
- A genuine player-coach mindset
- Strong stakeholder management skills
- Solid data modeling skills
- Experience managing or developing engineers
- Strong communication skills
- Comfort operating across both platform and product delivery contexts
Desired Qualifications
- Experience with data governance for AI agents — guardrails, access control, and safety considerations for agentic analytics
- Familiarity with data lakes, semantic layers, and orchestration tooling at scale
- Experience in a product-led B2B SaaS environment
- Hands-on streaming experience (e.g. Kafka or Flink)
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