Data Engineer | Data Engineer (m/w/d)
Deichmann SE
Job Summary
As a Data Engineer at Deichmann, you will play a pivotal role in shaping the data landscape of one of Europe's most successful footwear retailers. Your daily responsibilities will center on developing and optimizing robust data pipelines within an Azure environment, specifically leveraging Azure Databricks. You will be responsible for building and maintaining a modern Data Lakehouse architecture, implementing automated ETL/ELT processes, and ensuring high data quality and security across the entire lifecycle. Working within an agile team, you will collaborate closely with Data Scientists and Analysts to transform large datasets from diverse sources into actionable insights. This position is particularly attractive due to the stability of a successful family-owned international company combined with a modern tech stack. You will have the opportunity to actively influence the company's long-term data strategy while enjoying benefits like flexible working hours, mobile work options, and comprehensive professional development programs.
Required Skills
Education
Completed degree in (Business) Informatics, Mathematics, Natural Sciences, or a comparable qualification.
Experience
- Professional experience in the development of data solutions, preferably in Azure cloud environments
- Proven experience in building and operating ETL/ELT processes using modern data engineering tools
- Extensive experience in data modeling using Kimball or Data Vault standards
- Practical experience working with large data volumes and diverse source systems
- Experience working within an agile team environment
Languages
Additional
- The role is based in a full-time capacity and offers mobile working options (hybrid). Candidates must be able to work within the company's agile framework and contribute to long-term data strategy.
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