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

Staffbase; Dresden; Vor Ort; EUR 90.000 - 120.000; Vollzeit

Benefits dieser Stelle

LTIP package

Hybrid work with €1560 flex allowance

31 vacation days + August Fridays off

Company pension scheme

Volunteers Day

Zusammenfassung

Staffbase in Germany seeks a Staff Engineer for data engineering to shape the distributed data platform and drive architecture decisions across data lakes, governance, and orchestration. You will mentor a team of 4–5 engineers and own critical data infrastructure for AI and analytics.

This role blends hands-on engineering with strategic planning, requiring strong stakeholder management and a product-minded mindset to balance rigor with pragmatic prioritization.

Qualifikationen

• Proven experience at Staff Engineer level or equivalent in a data engineering context.
• Strong architectural understanding of data platforms: data lakes, foundations, governance, and orchestration.
• Experience with streaming technologies (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.

Aufgaben

• Drive the technical direction of our data platform – leading architecture decisions, sequencing, and delivery with Engineering, Product, and Design stakeholders.
• Support and develop a team of 4–5 engineers: providing mentorship, unblock delivery, and build a product-minded culture.
• Own and evolve the data infrastructure: data lake, foundations, semantic layer, and governance for AI and analytics features.
• Lead streaming adoption across the team, applying hands-on expertise to the evolving area.
• Apply and advance strong data modeling practices across the platform.
• Prioritize and mediate with product stakeholders – advocating for the right technical decisions and sequencing.

Kenntnisse

Staff Engineer level

Data engineering

Architecture

Python

Kafka

Tools

Kafka

Jobbeschreibung

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