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

Status
Open
Remote policy
Not stated
Employment type
Not stated
Salary
43,000-83,000 EUR / year
Tech
kafkapythondatastaff
Source
germantechjobs
First observed
2026-09-18 07:57 UTC
Last seen
2026-09-18 07:57 UTC
Source claims posted
2026-09-18 06:46 UTC
Consecutive misses
0 of 3

What the posting says

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 comfort working across a modern data stack

Strong stakeholder management and communication skills; comfort 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; comfort guiding engineers and driving delivery

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 by providing technical mentorship, unblocking delivery, and helping build a product-minded engineering culture

Own and evolve our 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

Support

Kafka

Python

AI Agents

More:

We are Staffbase, building a data platform in a flexible, agile environment with a strong focus on work-life balance. We work alongside skilled, data-passionate engineers in a collaborative team where you will have real ownership and influence over data architecture. We are building toward a distributed, self-service data platform model and data is a strategic asset for us, directly enabling our AI product roadmap. We offer competitive compensation including an 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 38 week of 2026

Quality

Completeness: 65%

Not enough history yet to judge honesty signals.

Timeline

  1. *
    #828604 2026-09-18 07:57 UTC
    Published