Staff Engineer, Data & Analytics

<div class="content-intro"><h3><strong>About Staffbase</strong></h3> <p>We inspire people to achieve great things together. Our mission is to help organizations unlock the power of inspirational communication with the first <strong>AI-native Employee Experience Platform</strong>. Our<strong> industry-leading and award-winning agentic AI communications channels</strong> - intranet, employee app and email solutions - create engaging experiences that connect and empower employees.</p> <p>Headquartered in Chemnitz, Germany and New York City, with offices in Berlin, London, Sydney, Tokyo, Prague, and Minneapolis–St. Paul, our diverse team of 550+ employees supports 1,500+ customers—reaching over 14 million employees—in transforming their employee experience.<br>We are proud to be a&nbsp;<strong data-stringify-type="bold">Unicorn</strong>&nbsp;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.</p></div><p><span style="font-family: arial, helvetica, sans-serif; font-size: 14pt;">As a Staff Engineer in our Data &amp; 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.&nbsp; 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.</span></p> <h2><span style="font-family: arial, helvetica, sans-serif; font-size: 14pt;"><strong>Our environment</strong></span></h2> <ul> <li style="font-family: arial, helvetica, sans-serif; font-size: 14pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 14pt;">Work alongside skilled, data-passionate engineers in a team that values collaboration</span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 14pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 14pt;">A flexible, agile environment with a strong focus on work-life balance</span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 14pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 14pt;">You will have real ownership and influence over data architecture&nbsp;</span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 14pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 14pt;">We are building toward a distributed, self-service data platform model – you will help shape how that evolves.</span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 14pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 14pt;">Data is a strategic asset at Staffbase: valued, actively growing, and directly enabling our AI product roadmap.</span></li> </ul> <h2><span style="font-family: arial, helvetica, sans-serif; font-size: 14pt;"><strong>What you'll be doing</strong></span></h2> <ul> <li style="font-family: arial, helvetica, sans-serif; font-size: 14pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 14pt;">Drive the technical direction of our data platform – leading architecture decisions, sequencing, and delivery in collaboration with Engineering, Product, and Design stakeholders</span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 14pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 14pt;">Support and develop a team of 4–5 engineers: providing technical mentorship, unblocking delivery, and helping build a product-minded engineering culture.</span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 14pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 14pt;">Own and evolve the data infrastructure: data lake, data foundations, semantic layer, and data governance – building a solid base for AI and analytics features</span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 14pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 14pt;">Lead streaming adoption across the team, bringing hands-on expertise to an area the team is actively developing</span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 14pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 14pt;">Apply and advance strong data modeling practices across the platform.</span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 14pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 14pt;">Prioritize and mediate effectively with product stakeholders – advocating for the right technical decisions and sequencing of work</span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 14pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 14pt;">Contribute to the evolution of our self-service data platform approach, driving the cultural and technical shift toward distributed data ownership</span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 14pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 14pt;">Collaborate across the broader staff engineering community on cross-cutting architectural decisions</span></li> </ul> <h2><span style="font-family: arial, helvetica, sans-serif; font-size: 14pt;"><strong>What you need to be successful</strong></span></h2> <ul> <li style="font-family: arial, helvetica, sans-serif; font-size: 14pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 14pt;">Proven experience at Staff Engineer level or equivalent in a data engineering context</span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 14pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 14pt;">Strong architectural understanding of data platforms: data lakes, data foundations, data governance, and orchestration.</span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 14pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 14pt;">Experience with streaming technologies (e.g. Kafka) – hands-on exposure is a strong plus</span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 14pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 14pt;">Solid data modeling skills and the ability to raise this as a team-wide standard.</span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 14pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 14pt;">Experience working with large-scale datasets commensurate with a sizeable B2B SaaS customer base.</span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 14pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 14pt;">Python proficiency and comfortable working across a modern data stack</span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 14pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 14pt;">Strong stakeholder management and communication skills – you are comfortable pushing back, negotiating roadmaps, and finding constructive compromises with product teams</span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 14pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 14pt;">A product-minded engineering mindset: able to balance technical rigour with pragmatic prioritization.</span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 14pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 14pt;">Leadership experience or ambition: you are comfortable guiding engineers and driving delivery</span></li> </ul> <h2><span style="font-family: arial, helvetica, sans-serif; font-size: 14pt;"><strong>Nice to have</strong></span></h2> <ul> <li style="font-family: arial, helvetica, sans-serif; font-size: 14pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 14pt;">Experience with data governance for AI agents – understanding guardrails, access control, and safety considerations for agentic analytics.</span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 14pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 14pt;">Prior exposure to self-service data platform models and distributed data ownership strategies.</span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 14pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 14pt;">Experience in a product-led SaaS environment.</span></li> </ul> <p><span style="font-family: arial, helvetica, sans-serif; font-size: 14pt;"><strong>What you'll get</strong></span></p> <ul> <li style="font-family: arial, helvetica, sans-serif; font-size: 14pt;"><em>Competitive Compensation</em> - we offer attractive salary packages including LTIP (unit-based Long Term Incentive Plan)</li> <li style="font-family: arial, helvetica, sans-serif; font-size: 14pt;"><span style="font-size: 14pt; font-family: arial, helvetica, sans-serif;"><em>Flexibility </em>- we offer flexible working time models and the option of hybrid work, and support this with a yearly flex work allowance of €1560</span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 14pt;"><em>Recharge</em> - with 31 vacation days annually (incl. one floating holiday), plus pro rata fully paid Fridays off during August</li> <li style="font-family: arial, helvetica, sans-serif; font-size: 14pt;"><span style="font-size: 14pt; font-family: arial, helvetica, sans-serif;"><em>Support</em><strong> </strong>-<strong> </strong>we offer offering a company pension scheme</span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 14pt;"><span style="font-size: 14pt; font-family: arial, helvetica, sans-serif;"><em>Volunteers Day</em><strong> </strong>- you’ll get one day off per year for supporting a social project</span></li> </ul><div class="content-conclusion"><h3><strong><img src="https://imgur.com/a/kIbq0q5" alt="" style="max-width: 100%;"></strong></h3></div>

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