Engineering Manager, Data & Analytics
Staffbase•4h ago
Dresden, Sachsen, GermanyOnsiteFull-timeManager Level5+ yrs exp
Top focus
Engineering ManagerVp EngineeringVp DataSenior Engineering ManagerClinical Data Manager
- About Staffbase
- We inspire people to achieve great things together. Our mission is to help organizations unlock the power of inspirational communication with the first AI-native Employee Experience Platform . Our industry-leading and award-winning agentic AI communications channels - intranet, employee app and email solutions - create engaging experiences that connect and empower employees.
- Headquartered in Chemnitz, Germany and New York City, with offices in Berlin, London, Sydney, Tokyo, Prague
- Minneapolis–St. Paul, our diverse team of 750+ employees supports 2,000+ customers—reaching over 16.4 million employees—in transforming their employee experience.
- We are proud to be a Unicorn company—privately valued at over $1 billion—demonstrating strong growth, innovation, and lasting impact in our industry. Together, we’re shaping the future of workplace communication.
- Engineering Manager – Data & Analytics
- As Engineering Manager for our Data & Analytics team, you will lead a team of 4-5 engineers while staying meaningfully hands-on as a technical player-coach. This is not a traditional management role. You are someone with a strong and senior data engineering background who genuinely wants to step into management. You will own the team's delivery, drive stakeholder alignment
- bring the technical depth needed to develop your team and keep us on the right track.
- You will work closely with the Director of Engineering and product stakeholders, on sequencing, prioritization
- roadmap negotiation — with enough technical grounding to make sound decisions and mentor engineers day to day.
- Our environment
- Data operates on two fronts: maintaining and evolving a self-service data platform, and delivering as a product team
- While the overall architecture direction is established for the near term, you'll shape the details and influence the technical direction as the roadmap extends 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 into
- What you'll be doing
- Lead and develop a team of 4-5 engineers: coaching, unblocking delivery, and building a product-minded data engineering culture
- Own the team's roadmap sequencing. Negotiating priorities with product stakeholders, pushing back where needed, and finding constructive compromises
- Mediate between platform and product demands: the team operates across data platform and product delivery simultaneously, and you will balance both
- Bring hands-on experience in Data streaming to guide the team through an active transition
- Raise the bar on data modeling across the team
- Drive the cultural and technical shift toward distributed data ownership, helping product teams progressively own their own data
- With your extensive Data Engineering experience you will collaborate with the broader staff engineering community on cross-cutting architectural decisions where needed
- Build 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 data
- What you need to be successful
- Proven 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 people
- A genuine player-coach mindset
- Strong stakeholder management skills. You thrive in negotiation, can push back confidently, and know how to reach workable compromises with product teams
- Solid data modeling skills and the credibility to make it a team-wide standard
- Experience managing or developing engineers. Coaching technical fundamentals and growing product thinking
- Strong communication skills and the ability to drive a cultural shift toward distributed, self-service data ownership
- Comfort operating across both platform and product delivery contexts
- Nice to have
- 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)
- What you'll get
- Competitive Compensation - we offer attractive salary packages including LTIP (unit-based Long Term Incentive Plan)
- Flexibility - we offer flexible working time models and the option of hybrid work, and support this with a yearly flex work allowance of €1560
- Recharge - with 31 vacation days annually (incl. one floating holiday), plus pro rata fully paid Fridays off during August
- Support - we offer offering a company pension scheme
- Volunteers Day - you’ll get one day off per year for supporting a social project
Required skills
Data EngineeringData StreamingData ModelingAI Governance