Staff Engineer, Data & Analytics

About Staffbase We inspire people to achieve great things together. Our mission is to help organizations unlock the power of inspirational communication with the first AI-native Employee Experience Platform . Our industry-leading and award-winning agentic AI communications channels - intranet, employee app and email solutions - create engaging experiences that connect and empower employees.

Headquartered in Chemnitz, Germany and New York City, with offices in Berlin, London, Sydney, Tokyo, Prague, and Minneapolis–St. 4 million employees—in transforming their employee experience. We are proud to be a Unicorn company—privately valued at over $1 billion—demonstrating strong growth, innovation, and lasting impact in our industry.

Together, we’re shaping the future of workplace communication. 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.

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.

Nice To Have

Experience with data governance for AI agents – understanding guardrails, access control, and safety considerations for agentic analytics.