🇩🇪 Berlin, Germany · 2h ago
Staff Engineer, Data & Analytics
Staffbase
LinkedInleadEnglish-friendly
About StaffbaseWe 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. Paul, our diverse team of 550+ employees supports 1,500+ customers—reaching over 14 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 environmentWork alongside skilled, data-passionate engineers in a team that values collaborationA flexible, agile environment with a strong focus on work-life balanceYou 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 doingDrive the technical direction of our data platform – leading architecture decisions, sequencing, and delivery in collaboration with Engineering, Product, and Design stakeholdersSupport 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 featuresLead streaming adoption across the team, bringing hands-on expertise to an area the team is actively developingApply 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 workContribute to the evolution of our self-service data platform approach, driving the cultural and technical shift toward distributed data ownershipCollaborate across the broader staff engineering community on cross-cutting architectural decisionsWhat you need to be successfulProven experience at Staff Engineer level or equivalent in a data engineering contextStrong 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 plusSolid 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 stackStrong stakeholder management and communication skills – you are comfortable pushing back, negotiating roadmaps, and finding constructive compromises with product teamsA product-minded engineering mindset: able to balance technical rigour with pragmatic prioritization.Leadership experience or ambition: you are comfortable guiding engineers and driving deliveryNice to haveExperience 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 getCompetitive 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 €1560Recharge - with 31 vacation days annually (incl. one floating holiday), plus pro rata fully paid Fridays off during AugustSupport - we offer offering a company pension schemeVolunteers Day - you'll get one day off per year for supporting a social projectSourced from LinkedIn. Relocantly aggregates public job postings; apply on the original site.