Digital sports platform powering Decathlon's global ecosystem and 400M users
Decathlon Digital operates the technology backbone for one of the world's largest sports retailers, serving 400 million customers across mobile, web, and physical channels. The stack reveals a hybrid enterprise architecture—SAP suite (ECC, HANA, BW) paired with modern data infra (Kafka, Spark, Databricks, Elasticsearch)—and they're actively migrating to SAP S/4HANA and Datasphere while building out multi-cloud infrastructure. Heavy hiring in engineering and data (48 of 74 open roles) against pain points in HR digital transformation, infrastructure security, and data reliability suggests Decathlon Digital is scaling both platform modernization and operational automation.
Decathlon Digital is the technology division of Decathlon, tasked with becoming the group's largest digital sports platform. They operate infrastructure and software for 400 million customers and users globally, plus internal systems for 101,000+ Decathlon employees. The organization spans core domains: mobile (iOS, Android), cloud infrastructure (AWS, Kubernetes), data pipelines (Kafka, Spark, Databricks, SAP BW/HANA), API platforms, and security automation. Headquartered in Croix, France, with 1,001–5,000 employees, they are focused on seamless cross-channel sports product delivery and secure ecosystem operations.
Core: Python, Java, Scala, Spring Boot, Kafka, Spark, Elasticsearch, Kibana. Cloud: AWS (ECR, CodeArtifact), Kubernetes, Datadog. Enterprise: SAP BW, SAP HANA, SAP ECC (migrating to S/4HANA). Mobile: iOS, Android. Adopting: Databricks, Delta Sharing, SAP Datasphere.
Multi-cloud architecture design, payment widget architecture, cloud-ready backbone transformation, API/task automation, digital panel management platform, security KPI automation, network automation, and global HR platform deployment.
Decathlon Digital's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.