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# Engineering Manager - Data & AnalyticsAs Engineering Manager

- **Company:** Staffbasewe
- **Location:** Dresden, Germany
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Information Engineering, Data Governance, Data Infrastructure, Distributed Data Store, Data Streaming
- **Published:** August 23, 2026
- **Apply:** https://www.jobfinder.de/job/engineering-manager-data-analytics/

## About the Role

progressively own their own dataWith your extensive Data Engineering experience you will collaborate with the broader staff engineering community on cross-cutting architectural decisions where neededBuild the foundations for AI data governance - as agentic analytics becomes customer-facing, you will need to think through guardrails, access control, and safety for AI agents interacting with dataWhat you need to be successfulProven experience at Staff Engineer level (or equivalent) in a data engineering context. You have been deep in the technical work and now want to lead peopleA genuine player-coach mindsetStrong stakeholder management skills. You thrive in negotiation, can push back confidently, and know how to reach workable compromises with product teamsSolid data modeling skills and the credibility to make it a team-wide standardExperience managing or developing engineers. Coaching technical fundamentals and growing product thinkingStrong communication skills and the

## Description

into 2027 and beyond.You are the voice on data. Driving delivery and managing the interfaces with the broader staff engineering community available to support on high-level architectural input.Data governance for AI agents is an emerging and fast-growing priority - a technically exciting area we're starting to build intoWhat you'll be doingLead and develop a team of 4-5 engineers: coaching, unblocking delivery, and building a product-minded data engineering cultureOwn the team's roadmap sequencing. Negotiating priorities with product stakeholders, pushing back where needed, and finding constructive compromisesMediate between platform and product demands: the team operates across data platform and product delivery simultaneously, and you will balance bothBring hands-on experience in Data streaming to guide the team through an active transitionRaise the bar on data modeling across the teamDrive the cultural and technical shift toward distributed data ownership, helping product teams


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