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

Staffbase; Berlin; Vor Ort; EUR 120.000 - 180.000; Vollzeit

Benefits dieser Stelle

LTIP

Hybrid work

Vacation days

Company pension

Volunteer day

Zusammenfassung

Staffbase in Berlin is seeking an experienced Staff Engineer to lead the data platform's technical direction and architecture. You will own the data lake, governance, and semantic layers, shaping how data supports AI features and analytics.

You will mentor a 4-5 person engineering team, collaborate with Engineering, Product and Design, and drive a culture of pragmatic, product-minded delivery with strong stakeholder management.

Qualifikationen

• Proven experience at Staff Engineer level or equivalent in data engineering.
• Strong architectural understanding of data platforms and governance.
• Experience with streaming technologies (Kafka) and Python.

Aufgaben

• Drive the technical direction of the data platform, leading architecture decisions and delivery.
• Mentor and support a team of 4-5 engineers, fostering a product-minded culture.
• Own and evolve data infrastructure including data lake, foundations, and governance.
• Lead streaming adoption across the team and drive data modeling standards.
• Collaborate with Engineering, Product and Design stakeholders to align roadmaps.

Kenntnisse

Architectural leadership

Data modeling

Python

Stakeholder management

Leadership

Tools

Kafka

SQL

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