Staff Engineer, Data & Analytics (f/m/d)
- Status
- Open
- Remote policy
- Not stated
- Employment type
- Not stated
- Salary
- 43,000-83,000 EUR / year
- Source
- germantechjobs
- First observed
- 2026-09-18 07:57 UTC
- Last seen
- 2026-09-18 07:57 UTC
- Source claims posted
- 2026-09-18 06:46 UTC
- Consecutive misses
- 0 of 3
What the posting says
Salary: 43.000 - 83.000 € per year
Requirements:
Proven experience at Staff Engineer level or equivalent in a data engineering context
Strong architectural understanding of data platforms: data lakes, data foundations, data governance, and orchestration
Experience with streaming technologies (e.g. Kafka); hands-on exposure is a strong plus
Solid data modeling skills and the ability to raise this as a team-wide standard
Experience working with large-scale datasets commensurate with a sizeable B2B SaaS customer base
Python proficiency and comfort working across a modern data stack
Strong stakeholder management and communication skills; comfort pushing back, negotiating roadmaps, and finding constructive compromises with product teams
A product-minded engineering mindset, able to balance technical rigour with pragmatic prioritization
Leadership experience or ambition; comfort guiding engineers and driving delivery
Responsibilities:
Drive the technical direction of our data platform, leading architecture decisions, sequencing, and delivery in collaboration with Engineering, Product, and Design stakeholders
Support and develop a team of 4-5 engineers by providing technical mentorship, unblocking delivery, and helping build a product-minded engineering culture
Own and evolve our data infrastructure: data lake, data foundations, semantic layer, and data governance, building a solid base for AI and analytics features
Lead streaming adoption across the team, bringing hands-on expertise to an area the team is actively developing
Apply and advance strong data modeling practices across the platform
Prioritize and mediate effectively with product stakeholders, advocating for the right technical decisions and sequencing of work
Contribute to the evolution of our self-service data platform approach, driving the cultural and technical shift toward distributed data ownership
Collaborate across the broader staff engineering community on cross-cutting architectural decisions
Technologies:
AI
Support
Kafka
Python
AI Agents
More:
We are Staffbase, building a data platform in a flexible, agile environment with a strong focus on work-life balance. We work alongside skilled, data-passionate engineers in a collaborative team where you will have real ownership and influence over data architecture. We are building toward a distributed, self-service data platform model and data is a strategic asset for us, directly enabling our AI product roadmap. We offer competitive compensation including an LTIP, flexible working time models with hybrid work and a yearly flex work allowance of €1560, 31 vacation days annually including one floating holiday plus pro rata fully paid Fridays off during August, a company pension scheme, and one Volunteer Day per year for supporting a social project.
last updated 38 week of 2026
Quality
- + Salary range stated weight 35%
- x Remote policy stated weight 20%
- x Location stated weight 15%
- + Organisation stated weight 15%
- + Publication date stated weight 15%
Not enough history yet to judge honesty signals.
Timeline
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#828604 2026-09-18 07:57 UTCPublished