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9 часов назад

Engineering Manager (Data & Analytics)

Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Engineering Manager (Data & Analytics): Leading a team of 4-5 engineers while maintaining a hands-on player-coach role to evolve a self-service data platform and deliver product-focused data solutions. Focus on driving distributed data ownership, implementing AI data governance, and balancing platform infrastructure with product roadmap requirements.

Location: Must be based in Germany (Berlin, Chemnitz, or Dresden) with a hybrid work model.

Company

hirify.global is an AI-native Employee Experience Platform and a unicorn company dedicated to transforming workplace communication for over 2,000 customers worldwide.

What you will do

  • Lead and mentor a team of 4-5 engineers, fostering a product-minded data engineering culture.
  • Own roadmap sequencing and negotiate priorities with product stakeholders.
  • Balance the demands of maintaining a self-service data platform and delivering product-specific data features.
  • Guide the team through technical transitions, particularly in data streaming and data modeling.
  • Drive the cultural shift toward distributed data ownership across product teams.
  • Build foundations for AI data governance, including guardrails and safety for agentic analytics.

Requirements

  • Must be based in Germany and able to work in a hybrid model.
  • Proven experience at a Staff Engineer level or equivalent in data engineering.
  • Strong stakeholder management and negotiation skills.
  • Hands-on experience with data modeling and data streaming technologies.
  • Experience managing or developing engineers with a focus on coaching and product thinking.
  • Ability to operate effectively across both platform and product delivery contexts.

Nice to have

  • Experience with data governance for AI agents, including access control and safety.
  • Familiarity with data lakes, semantic layers, and orchestration tooling at scale.
  • Experience in a product-led B2B SaaS environment.
  • Hands-on streaming experience with Kafka or Flink.

Culture & Benefits

  • Competitive compensation including a unit-based Long Term Incentive Plan (LTIP).
  • Flexible working models with a yearly flex work allowance of €1560.
  • 31 vacation days annually plus fully paid Fridays off during August.
  • Company pension scheme.
  • One paid day off per year for volunteering.

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