(Senior) Data Engineer – Azure Databricks / Lakehouse | (Senior) Data Engineer – Azure Databricks / Lakehouse (m/w/d)

Job Summary

As a (Senior) Data Engineer at Deichmann, you will play a pivotal role in evolving the company's Azure Lakehouse platform to support one of Europe's largest footwear retailers. Your daily responsibilities include developing, operating, and optimizing scalable data pipelines using Azure Databricks and Spark. You will be responsible for the end-to-end data lifecycle, from integrating diverse source systems to implementing automated ETL/ELT processes with robust monitoring and error handling. Collaborating closely with Data Scientists and Analysts, you will translate business requirements into high-quality data models using Kimball or Data Vault methodologies. This role is ideal for a professional who values data quality and security while seeking a position with significant creative freedom. The position offers a modern tech stack, flexible working hours with mobile work options, and the stability of a successful family-owned international business, making it a unique opportunity to drive data-driven decision-making at scale.