Job
- Level
- Lead
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Dresden
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will lead a team of 4-5 engineers, coordinate the roadmap, develop data streaming solutions, and foster a cross-cultural mindset for data-driven work in a B2B SaaS environment.
Job Technologies
Your role in the team
- 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.
- You will own the team's delivery, drive stakeholder alignment, and 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, and roadmap negotiation — with enough technical grounding to make sound decisions and mentor engineers on a day-to-day basis.
- 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.
- 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.
- Vermittlung zwischen Plattform- und Produktanforderungen: Das Team arbeitet gleichzeitig an der Datenplattform und der Produktlieferung, und Sie werden beide ausbalancieren.
- 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.
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Our expectations of you
Qualifications
- 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.
- 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.
- Vertrautheit mit Data Lakes, semantischen Schichten und Orchestrierungstools in großem Maßstab.
Experience
- 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.
- Experience managing or developing engineers. Coaching technical fundamentals and growing product thinking.
- Experience with data governance for AI agents - guardrails, access control, and safety considerations for agentic analytics.
- Experience in a product-led B2B SaaS environment.
- Hands-on streaming experience (e.g. Kafka or Flink).
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What we offer
- 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 (including one floating holiday), plus pro-rata fully paid Fridays off during August.
- Support - we offer a company pension scheme.
- Volunteers Day - you'll get one day off per year for supporting a social project.
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Topics that you deal with on the job
Job Locations
This is your employer
Staffbase GmbH
Founded in 2014, Staffbase GmbH is an innovative company that develops internal communication solutions, helping organizations connect their employees.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Engineering Manager, Data & Analytics
- Location
- Dresden
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
