Design and evolve the company's enterprise data platform to support large-scale analytics and data science. Define and standardise data pipelines, improve platform stability, and enable data engineers and scientists. Collaborate cross-functionally to align platform capabilities with business and analytics requirements.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
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.
The 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.
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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)
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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.
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