Ernsting's family operates ~2,000 clothing and home-goods stores across Germany, Austria, and the Netherlands, supported by 12,500+ employees and a multi-channel sales model. The tech stack reveals a data-heavy organization: Python, R, Spark, and Azure underpin advanced analytics, while SAP BW/4HANA and Datasphere handle enterprise integration. Active projects focus on data operationalization and ML pipelines — a shift from traditional retail BI toward predictive inventory and customer journey modeling. Data and operations leadership dominate current hiring, signaling investment in supply-chain intelligence and warehouse automation.
Ernsting's family is one of Europe's largest omnichannel textile retailers, founded in 1968 and headquartered in Coesfeld-Lette, Germany. The business spans physical retail (approximately 2,000 stores across three countries), e-commerce, and online marketplaces, with product focus on apparel, accessories, underwear, and home goods across all family age groups. The organization maintains active warehouse automation, data integration from SAP and non-SAP systems, and development of self-service BI and analytics capabilities. Recent hiring activity centers on data engineering, operations, and product roles, primarily in Germany and the Netherlands.
Core analytics and data: Python, R, Apache Spark, SQL, Databricks. Cloud: Azure, AWS. Enterprise systems: SAP BW, SAP Datasphere, SAP Analytics Cloud, SAP BW/4HANA, IBM Planning Analytics. BI and reporting: Power BI, Fabric. Collaboration: Jira, Confluence.
Key projects: automated warehouse systems, e-commerce customer journey modeling, Azure-based data science architecture, operationalization of analytics and ML pipelines, data integration from SAP and non-SAP systems, and scalable self-service BI infrastructure.
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