Job
- Level
- Lead
- Job Feld
- Data, Back End
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Berlin
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Rolle führst du ein Team von Ingenieuren, förderst die agile Datenplattform-Entwicklung, managst die Zusammenarbeit mit Stakeholdern und treibst datengestützte Innovationsprojekte.
Job Technologien
Deine Rolle im 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.
- 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.
- 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.
Unsere Erwartungen an dich
Qualifikationen
- A genuine player-coach mindset.
- Strong stakeholder management skills.
- 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.
- Familiarity with data lakes, semantic layers, and orchestration tooling at scale.
Erfahrung
- Proven experience at Staff Engineer level (or equivalent) in a data engineering context.
- Experience managing or developing engineers.
- 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).
Unser Angebot
- 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.
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Staffbase GmbH
Staffbase GmbH, gegründet 2014, ist ein innovatives Unternehmen, das interne Kommunikationslösungen entwickelt und Unternehmen dabei unterstützt, ihre Mitarbeiter zu vernetzen.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Internet, IT, Telekom
Engineering Manager, Data & Analytics
- Ort
- Berlin
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
