Staff Engineer, Data & Analytics (f/m/d)
Our environmentbr/br/Work alongside skilled, data-passionate engineers in a team that values collaborationbr/br/A flexible, agile environment with a strong focus on work-life balancebr/br/You will have real ownership and influence over data architecturebr/br/We are building toward a distributed, self-service data platform model – you will help shape how that evolves.br/br/Data is a strategic asset at Staffbase: valued, actively growing, and directly enabling our AI product roadmap.br/br/What you'll be doingbr/br/Drive the technical direction of our data platform – leading architecture decisions, sequencing, and delivery in collaboration with Engineering, Product, and Design stakeholdersbr/br/Support and develop a team of 4–5 engineers: providing technical mentorship, unblocking delivery, and helping build a product-minded engineering culture.br/br/Own and evolve the data infrastructure: data lake, data foundations, semantic layer, and data governance – building a solid base for AI and analytics featuresbr/br/Lead streaming adoption across the team, bringing hands-on expertise to an area the team is actively developingbr/br/Apply and advance strong data modeling practices across the platform.br/br/Prioritize and mediate effectively with product stakeholders – advocating for the right technical decisions and sequencing of workbr/br/Contribute to the evolution of our self-service data platform approach, driving the cultural and technical shift toward distributed data ownershipbr/br/Collaborate across the broader staff engineering community on cross-cutting architectural decisionsbr/br/What you need to be successfulbr/br/Proven experience at Staff Engineer level or equivalent in a data engineering contextbr/br/Strong architectural understanding of data platforms: data lakes, data foundations, data governance, and orchestration.br/br/Experience with streaming technologies (e.g. Kafka) – hands-on exposure is a strong plusbr/br/Solid data modeling skills and the ability to raise this as a team-wide standard.br/br/Experience working with large-scale datasets commensurate with a sizeable B2B SaaS customer base.br/br/Python proficiency and comfortable working across a modern data stackbr/br/Strong stakeholder management and communication skills – you are comfortable pushing back, negotiating roadmaps, and finding constructive compromises with product teamsbr/br/A product-minded engineering mindset: able to balance technical rigour with pragmatic prioritization.br/br/Leadership experience or ambition: you are comfortable guiding engineers and driving deliverybr/br/Nice to havebr/br/Experience with data governance for AI agents – understanding guardrails, access control, and safety considerations for agentic analytics.br/br/Prior exposure to self-service data platform models and distributed data ownership strategies.br/br/Experience in a product-led SaaS environment.br/br/What you'll getbr/br/Competitive Compensation - we offer attractive salary packages including LTIP (unit-based Long Term Incentive Plan)br/br/Flexibility - we offer flexible working time models and the option of hybrid work, and support this with a yearly flex work allowance of €1560br/br/Recharge - with 31 vacation days annually (incl. one floating holiday), plus pro rata fully paid Fridays off during Augustbr/br/Support - we offer offering a company pension schemebr/br/Volunteers Day - you’ll get one day off per year for supporting a social projectbr/br/