Job Description

As a Staff Engineer in our Data & Analytics team, you will drive the technical direction of our data platform and analytics capabilities. This is a hybrid role combining hands-on technical leadership with people leadership. You will work closely with the Director of Engineering and cross-functional stakeholders to advance our data infrastructure and lay the foundations for AI-powered product features.

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