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# Staff Engineer, Data & Analytics - Datenbankentwicklung/BI, Ingenieur

- **Company:** Staffbase GmbH
- **Location:** Chemnitz, Germany
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Big Data, Software as a Service, Information Engineering, Data Governance, Data Infrastructure, Data Warehousing, Distributed Data Store, Python (Programming Language), Agentic-AI, Data Lakes, Data Analytics, Apache Kafka, Data Management, Video Streaming
- **Published:** November 5, 2026
- **Apply:** https://www.absolventa.de/stellenangebote/13586737-b-staff-engineer-data-analytics-f-m-d-datenbankentwicklung-bi-ingenieur

## About the Role

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.

## Description

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