(Senior) Data Engineer | (Senior) Data Engineer (m/w/d)
Deichmann SE
Job Summary
This role involves joining a leading European shoe retailer's team in Essen as a (Senior) Data Engineer, focusing on developing and optimizing data pipelines primarily on the Azure platform, specifically using Azure Databricks. Day-to-day responsibilities include building, maintaining, and evolving the Data Lakehouse architecture, designing and implementing automated ETL/ELT processes, and integrating large datasets from various sources. A critical aspect of the role is ensuring data quality, consistency, and security throughout the data lifecycle, while collaborating closely with Data Scientists, Analysts, and other stakeholders in an agile environment. The ideal candidate possesses a degree in Computer Science or a related field, deep knowledge of data modeling (Kimball, Data Vault), and excellent proficiency in Azure Databricks, Spark, and Python or Scala. This position offers a secure, permanent contract within a sustainably expanding family-owned company, along with benefits like flexible hours and mobile working options.
Required Skills
Education
Degree in (Business) Informatics, Mathematics, Natural Sciences, or comparable qualification
Experience
- Professional experience in developing data solutions, ideally in cloud environments (Azure)
- Relevant experience in building and operating ETL/ELT processes
- Experience with modern Data Engineering tools
- Foundational knowledge in data modeling (Kimball, Data Vault)
Languages
Additional
- Permanent employment contract; Location in Essen, Germany; Must provide salary expectation and earliest possible start date upon application.
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