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One of Europe's largest clothing retailers is hiring a Senior Data Engineer. 1,000 stores across Europe and Asia, €4 billion in annual revenue, and a data platform that's about to get a serious upgrade. They're building the next generation of their data lake and moving toward cloud-native tooling (Snowflake/Databricks). Technical depth matters, but so does the ability to talk to business stakeholders and translate processes into reliable data. Both will be valued equally here.
Job Responsibility:
Build and evolve a scalable data lake using PySpark and Python
Partner with business teams to turn processes into clean, analysable data
Design and operate robust pipelines with a focus on quality and business impact
Operationalise ML pipelines alongside a team of data scientists
Mentor teammates and contribute to high standards through code reviews
Requirements:
5 years as a Data Engineer or similar
Strong Python and Spark skills, solid grasp of distributed systems
Confidence engaging with non-technical stakeholders
Business fluent English, German B2
Master's or Bachelor's in Computer Science or other relevant fields of study
Nice to have:
Nice to have familiarity with CI/CD, Kubernetes, and agile practices
Cloud migration experience (Snowflake or Databricks) is a strong plus
What we offer:
30 days holiday
Flexible working hours
L&D budget and individual progression plan
Annual capital-forming scheme contributions
Employee discounts
Braunschweig office with cafeteria, relocation supported