Staff Engineer, Data & Analytics

Staffbase; Deutschland; Hybrid; EUR 120,000 - 160,000; Full time

Benefits offered by this job

LTIP

Hybrid work

31 vacation days incl. floatingholiday

Company pension

Job summary

Staffbase in Germany is seeking a Staff Engineer in our Data & Analytics team to drive the technical direction of our data platform and analytics capabilities. This hybrid role combines hands-on technical leadership with people leadership, collaborating with the Director of Engineering and cross-functional partners to advance data infrastructure for AI-powered features.

You will mentor a team of 4–5 engineers, own data lake architecture, and shape a self-service data platform strategy while

Qualifications

• Proven experience as a Staff Engineer or equivalent in data engineering.
• Strong architectural understanding of data platforms, data lakes, governance, and orchestration.
• Hands-on experience with streaming technologies (e.g. Kafka) and modern data stacks.
• Experience leading and mentoring a team of engineers and shaping a product-minded engineering culture.

Responsibilities

• Drive the technical direction of the data platform and analytics capabilities in collaboration with Engineering, Product, and Design stakeholders.
• Lead and mentor a 4–5 engineer team, removing blockers and fostering a product-minded culture.
• Own and evolve data infrastructure—data lake, foundations, semantic layer, and governance—to support AI features.
• Lead streaming adoption and advance data modeling practices across the platform.
• Collaborate on cross-cutting architectural decisions with the broader staff engineering community.

Skills

Leadership

Data architecture

Stakeholder management

Product-minded engineering

Mentorship

Data governance

Python

Streaming data

Data modeling

Tools

Kafka

Python

Job description

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.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 aUnicorncompany—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.
• 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

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