Staff Engineer, Data & Analytics

Responsibilities

Our talent team is representing a confidential SaaS organization seeking a Staff Engineer to drive the technical direction of their data platform and analytics capabilities. This is a hybrid role combining hands-on technical leadership with people leadership responsibilities.

In this position, you will:

• Drive the technical direction of the 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 including data lake, data foundations, semantic layer, and data governance
• 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 a 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 We're Looking For

Required qualifications:

• 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 such as 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
• A product-minded engineering mindset: able to balance technical rigour with pragmatic prioritization
• Leadership experience or ambition: comfortable guiding engineers and driving delivery

Preferred qualifications:

• Experience with data governance for AI agents, including guardrails, access control, and safety considerations
• Prior exposure to self-service data platform models and distributed data ownership strategies
• Experience in a product-led SaaS environment

How We Work With You

When you apply through Get A Job.ai, our recruiting team will conduct an initial screening to understand your background and experience. If there's a strong match, we'll submit your profile to our client for consideration. Throughout the process, we'll be your primary point of contact and advocate.

Please apply exclusively through Get A Job.ai and do not contact the client directly, as this allows us to best represent your interests and coordinate the hiring process effectively.

This role is based in Dresden, Sachsen, with hybrid work flexibility.

Pay

Compensation details will be discussed during the screening process based on your experience and qualifications.

Equal Opportunity: Get A Job.ai is committed to inclusive recruiting practices. We welcome applications from candidates of all backgrounds and work with clients who share our commitment to diversity and equal opportunity employment.