Staff Engineer, Data & Analytics (f/m/d) - Dresden

Salary: 43.000 - 83.000 € per year

Requirements:

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

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.

Responsibilities:

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

Technologies:

AI

AI Agents

Support

Kafka

Python

More:

We work in a flexible, agile environment with a strong focus on work-life balance, alongside skilled, data-passionate engineers in a collaborative team. You will have real ownership and influence over our data architecture as we build toward a distributed, self-service data platform model. Data is a strategic asset at Staffbase, valued, actively growing, and directly enabling our AI product roadmap. We offer competitive compensation including LTIP, flexible working time models with hybrid work and a yearly flex work allowance of €1560, 31 vacation days annually including one floating holiday plus pro rata fully paid Fridays off during August, a company pension scheme, and one Volunteer Day per year for supporting a social project.

last updated 40 week of 2026