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# Staff Engineer, Data & Analytics

- **Company:** Staffbase GmbH
- **Location:** Dresden, 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), Data Lakes, Data Analytics, Apache Kafka, Data Management, Video Streaming
- **Published:** July 2, 2026
- **Apply:** https://de.indeed.com/viewjob?jk=2d6999c55c814b60

## 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

As a Staff Engineer in our Data & Analytics team, you will drive the technical direction of our data platform and analytics capabilities. This is a hybrid role combining hands-on technical leadership with people leadership. You will work closely with the Director of Engineering and cross-functional stakeholders to advance our data infrastructure and lay the foundations for AI-powered product features., * 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


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