Staffbase

Engineering Manager, Data & Analytics

Stellenbeschreibung:

Overview

As Engineering Manager for the Data & Analytics team, you will guide a 4–5 person engineering group with hands-on involvement. You’ll own delivery, align stakeholders, and bring technical depth to mentor engineers and shape the team’s direction. You’ll collaborate with the Director of Engineering and product stakeholders on sequencing and roadmap decisions, balancing platform and product needs. You’ll influence data governance for AI agents and drive a culture of self-service data ownership. This role offers a chance to shape data strategy into 2027 and beyond.

Leistungen / Benefits
  • Competitive compensation with LTIP
  • Flexible working time models and hybrid option
  • Yearly flex work allowance of 1560
  • 31 vacation days incl. floating holiday
  • Fully paid Fridays off in August
  • Company pension scheme
Verantwortungsbereiche
  • Lead and develop a 4–5 engineer team, coaching and unblocking delivery
  • Own the team’s roadmap sequencing and negotiate with product stakeholders
  • Balance data platform work with product delivery across teams
  • Provide hands-on guidance in Data streaming to navigate transitions
  • Raise the bar on data modeling across the team
  • Drive distributed data ownership and empower product teams to own their data
  • Collaborate with the broader staff engineering community on cross-cutting architectural decisions
  • Build foundations for AI data governance including guardrails, access control, and safety for agentic analytics
Zentrale Anforderungen
  • Proven Staff Engineer level experience in data engineering or equivalent
  • Hands-on, player-coach mindset with leadership experience
  • Strong stakeholder management and negotiation skills
  • Solid data modeling expertise and ability to standardize across the team
  • Experience coaching engineers and fostering product thinking
  • Strong communication and ability to drive cultural shift toward distributed data ownership
  • Comfort operating across platform and product delivery contexts
  • stakeholder management
  • negotiation and diplomacy
  • coaching and mentoring
  • data engineering
  • data streaming (Kafka, Flink)
  • data modeling
NOTE / HINWEIS:
EnglishEN: Please refer to Fuchsjobs for the source of your application
DeutschDE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung

Stelleninformationen

  • Veröffentlichungsdatum:

    14 Sep 2026
  • Standort:

    Dresden

    Einsatzort:

    Chemnitz
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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