Senior Data Platform Engnieer

Salary up to €110,000

Location: Braunschweig

One of the largest clothing retailers in Europe is looking for a Senior Data Platform Engineer . With over 1,000 stores across Europe & Asia and €4 billion in annual revenue, they are continuing to invest heavily in their enterprise data platform to support large-scale analytics, data science, and long-term platform evolution.

This role sits at the heart of their data landscape and focuses on strengthening and scaling their distributed data systems.

Position

• Architect and evolve the company’s enterprise data platform , shaping how data is stored, processed, and accessed across the organisation.
• Define and standardise the “golden paths” for building and operating data pipelines.
• Design scalable patterns for distributed data processing and ensure long-term platform stability.
• Lead improvements in platform observability, ownership, and transparency , making data workflows measurable and reliable.
• Enable data engineers and data scientists through self-service tooling , clear standards, and strong platform documentation.
• Drive architectural decisions around storage formats, partitioning strategies, and performance optimisation.
• Improve developer experience by introducing automation, reusable components, and CI/CD best practices.
• Collaborate cross-functionally to align platform capabilities with business and analytics requirements.
• Identify structural bottlenecks and implement long-term solutions rather than reactive fixes.
• Contribute to the strategic evolution of the data landscape, including scalability planning and future platform modernisation.

Experience

• 5 years of experience in Data Platform Engineering, Data Infrastructure, DevOps, or SRE roles.
• Strong programming skills with a keen eye on scalability and maintainability in Python and Bash .
• Experience with container orchestration (Kubernetes ) and CI/CD pipelines.
• Strong Linux system administration skills.
• Experience with CI/CD practices, infrastructure automation, and containerised environments (e.g., Kubernetes).
• Understanding of big data infrastructure, networking, distributed systems and working with data.
• Experience improving platform observability and runtime transparency.
• Ability to think architecturally and communicate trade-offs clearly.
• Languages: German (B2) and English (fluent).

Benefits and Details

• Up to €110,000 salary.
• Modern Braunschweig office with cafeteria (relocation supported).
• Annual contribution to capital-forming schemes (pension, savings, etc.).
• Flexible working hours.
• Individual progression plan with allocated learning and development budget.
• 30 vacation days.
• Employee discounts on company products.

For more information, apply or contact Norman Cistovas.