Staff Engineer, Data & Analytics (SaaS)

TL;DR

Staff Engineer, Data & Analytics (Python/Kafka): Driving the technical direction of the data platform and analytics capabilities with an accent on data infrastructure, AI foundations, and streaming adoption. Focus on evolving the self-service data platform model, leading architecture decisions, and mentoring a team of engineers.

Location: Hybrid (Berlin, Germany)

Company

An AI-native Employee Experience Platform and Unicorn company that helps organizations unlock the power of inspirational communication.

What you will do

• Drive the technical direction of the data platform, leading architecture decisions and delivery in collaboration with Product and Design stakeholders.
• Support and develop a team of 4–5 engineers through technical mentorship and building a product-minded engineering culture.
• Own and evolve critical data infrastructure, including the data lake, semantic layer, and data governance to enable AI and analytics features.
• Lead the adoption of streaming technologies and advance strong data modeling practices across the platform.
• Collaborate with the broader staff engineering community on cross-cutting architectural decisions.
• Balance technical rigour with pragmatic prioritization when negotiating roadmaps with product teams.

Requirements

• Proven experience at Staff Engineer level or equivalent in a data engineering context.
• Strong architectural understanding of data lakes, data foundations, data governance, and orchestration.
• Hands-on experience with streaming technologies such as Kafka.
• Proficiency in Python and comfort working across a modern data stack.
• Experience working with large-scale datasets within a sizeable B2B SaaS environment.
• Strong stakeholder management and communication skills, with the ability to negotiate and push back effectively.

Nice to have

• Experience with data governance for AI agents, including guardrails and safety considerations.
• Prior exposure to self-service data platform models and distributed data ownership strategies.
• Experience working in a product-led SaaS environment.

Culture & Benefits

• Competitive compensation packages including a Long Term Incentive Plan (LTIP).
• Hybrid work options supported by a yearly flex work allowance of €1560.
• Generous time off with 31 vacation days annually and fully paid Fridays off during August.
• Company pension scheme.
• One annual volunteer day to support social projects.