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 progressionplan with allocated learning and development budget
30Vacation Days
Employee Discounts on company products
For more information, apply or contact Norman Cistovas
