Data Engineer | Data Engineer (m/w/d)
Deichmann SE
Job Summary
This role focuses on the design and evolution of an Enterprise Data Model within an Azure Lakehouse environment. As a Data Engineer, you will be the architect behind the data platform's backbone, specifically implementing Data Vault 2.0 methodologies (Hubs, Links, Satellites) and Kimball-based Data Marts. Your daily activities will include defining modeling standards, ensuring data governance, and collaborating with cross-functional teams to translate business requirements into robust technical structures. You will also play a key role in integrating new source systems and making architectural decisions regarding automation and orchestration. This position is ideal for professionals who value clean, scalable data models and want to work in a modern cloud environment with significant creative freedom. The company offers a collaborative atmosphere with attractive benefits including 30 days of vacation, flexible working hours, and mobile work options.
Required Skills
Education
University degree in (Business) Informatics, Mathematics, Natural Sciences, or a comparable qualification.
Experience
- Several years of professional experience in data modeling with a focus on Data Vault 2.0
- Experience working within Cloud/Lakehouse environments, specifically Microsoft Azure
- Proven track record in implementing Hubs, Links, Satellites, and PIT/Bridge concepts
- Experience with programming in Python or Scala for technical model implementation
- Experience in collaborating with stakeholders to translate business needs into data structures
Languages
Additional
- The role requires a structured and independent way of working with strong analytical thinking. Location-based benefits include a discounted DeutschlandTicket and on-site facilities like a bistro and daycare (Kitaplätze).
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