Engineering Manager, Data & Analytics
HybridDresden, Saxony, Germany
Job Summary
Lead a team of 4-5 engineers while maintaining hands-on technical involvement as a player-coach. Own the team's roadmap sequencing, negotiate priorities with product stakeholders, and mediate between platform and product delivery demands. Drive the cultural and technical shift toward distributed data ownership and raise standards for data modeling across the team. Bring hands-on streaming experience to guide the team through an active transition and collaborate on cross-cutting architectural decisions. Build the foundations for AI data governance, including guardrails, access control, and safety for agentic analytics. This role supports the mission of unlocking the power of inspirational communication through AI-native employee experience platforms.
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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