Salary up to €100,000
Location: Braunschweig

One of the largest clothing retailers in Europe is looking for a Senior Data Engineer . They have over 1,000 stores across Europe & Asia, grossed +€4 billion last year and are looking to continue their success with you.

The position:

• Lead the development of a scalable, reliable, and maintainable data lake architecture using PySpark and Python .
• Partner with business stakeholders to understand core processes and translate them into clean, analysable data.
• Design and operate robust data pipelines , prioritizing data quality and business value .
• Architect pragmatic data solutions, ensuring scalability, maintainability, and performance.
• Help operationalize machine learning pipelines alongside a dynamic team of data scientists.
• Contribute to software development best practices, including version control, CI/CD, code quality, and documentation.
• Support and optimize on-premise Cloudera infrastructure in collaboration with the IT and Infrastructure teams.
• Mentor junior team members and engage in peer code reviews to continuously raise the bar for quality and collaboration.

Experience:

• A Master’s degree in Computer Science or a related field.
• 5+ years of experience as a Data Engineer or in a similar role.
• Proficiency in Python (Scala is a plus), with a strong foundation in writing clean, scalable, and testable code.
• Deep knowledge of data processing frameworks (e.g., Spark) and storage systems (e.g., HDFS).
• Solid understanding of information systems theory —from relational databases to distributed systems and data modeling.
• Experience with Linux , and bonus points for Bash scripting.
• Familiarity with modern software engineering practices —CI/CD, Kubernetes, code reviews, agile methodologies (as per the Agile Manifesto).
• A collaborative mindset, strong communication skills, and a proactive, hands-on approach.
• Business fluent in English and German

Benefits and Details:

• Up to €100,000 Salary
• Modern Braunschweig office with cafeteria (relocation supported)
• Annual contribution to capital-forming schemes (pension, savings, etc.)
• 2 Stage Interview Process
• 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