TENDAM operates five fashion brands across 89 countries with 1,982 physical locations and a centralized logistics hub. Their tech stack is AWS-native (Lambda, Glue, EMR, SageMaker) built on Python and Spark, paired with traditional Office tools—a shape typical of retail operations layering modern data infrastructure onto legacy finance workflows. Active hiring in data and engineering, combined with projects for scalable ML pipelines and AI/GenAI implementation, signals an attempt to automate operations and analytics across a geographically complex, multi-brand footprint.
TENDAM is one of Europe's largest fashion retailers, operating five owned brands (Cortefiel, Springfield, women'secret, Pedro del Hierro) plus Fifty outlet stores, with 683 franchised locations and 1,299 company-operated stores. The group sells into 89 countries and employs over 10,000 people. Shared corporate functions—finance, technology, logistics, and sourcing—are centralized in Madrid, while each brand maintains independent design and sales teams. Distribution runs through Madrid and Hong Kong logistics centers, supplying both owned and franchised retail. The business is pursuing expansion through new store openings, lease negotiation, and development of online channels alongside its core physical retail operations.
TENDAM runs AWS services (Lambda, EMR, Glue, Athena, SageMaker), Python, Apache Spark, SQL, and GitHub Actions for CI/CD. Office tools (Excel, PowerPoint, Word) remain in use for finance and reporting workflows.
Key projects include IFRS 16 implementation, financial consolidation, AI/GenAI project rollout, scalable data and ML infrastructure, ML pipeline automation, and store expansion with lease negotiation across international markets.
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