Data Engineer | Data Engineer (m/w/d)
Deichmann SE
Job Summary
As a Data Engineer at Deichmann, you will play a pivotal role in evolving the company's Azure Lakehouse platform. Your daily responsibilities include developing, operating, and optimizing robust data pipelines using Azure Databricks and Spark. You will be responsible for building scalable architectures, implementing automated ETL/ELT processes, and integrating diverse data sources for analytics and data science applications. The role involves close collaboration with data scientists and business departments to translate complex requirements into high-quality data models. This position is particularly attractive because it offers the stability of a successful family-owned international retailer combined with a modern tech stack. You will have significant creative freedom to influence architecture and technology decisions while working in an agile, solution-oriented environment that values professional development and offers comprehensive benefits like flexible working and 30 days of vacation.
Required Skills
Education
Completed university degree in (Business) Informatics, Mathematics, Natural Sciences, or a comparable qualification.
Experience
- Several years of professional experience in Data Engineering
- Proven experience working in Cloud environments, specifically Microsoft Azure
- Practical experience with modern ETL/ELT concepts and data integration
- Experience in the productive operation and maintenance of data pipelines
- Experience in structured data modeling such as Kimball or Data Vault
Languages
Additional
- Located in Essen, Germany. Requires the ability to work independently and structured with a focus on quality and maintainability.
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