Staff Engineer, Data & Analytics (f/m/d)

## Our environment - Work alongside skilled, data-passionate engineers in a team that values collaboration - A flexible, agile environment with a strong focus on work-life balance - You will have real ownership and influence over data architecture - We are building toward a distributed, self-service data platform model – you will help shape how that evolves. - Data is a strategic asset at Staffbase: valued, actively growing, and directly enabling our AI product roadmap. ## What you'll be doing - 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: providing technical mentorship, unblocking delivery, and helping build a product-minded engineering culture. - Own and evolve the 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 ## What you need to be successful - 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 comfortable working across a modern data stack - Strong stakeholder management and communication skills – you are comfortable 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: you are comfortable guiding engineers and driving delivery ## Nice to have - Experience with data governance for AI agents – understanding guardrails, access control, and safety considerations for agentic analytics. - Prior exposure to self-service data platform models and distributed data ownership strategies. - Experience in a product-led SaaS environment. ## What you'll get - 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