Europe's largest fashion ecommerce platform with 50M+ customers across 25 markets
Zalando operates a massive omnichannel fashion marketplace spanning 25 European markets with 50M+ active customers, backed by a logistics network of 12 fulfillment centers and regional warehouses. The tech stack reflects operational scale: Kotlin + TypeScript + React on the frontend, SAP (S/4HANA, BTP, Business Data Cloud) + Salesforce + PostgreSQL + AWS for backend systems, with Kubernetes, Elasticsearch, and real-time streaming (GraphQL, Lambda, SQS) for order and recommendation pipelines. Active hiring is accelerating across engineering, logistics, and operations — a staffing-driven expansion driven by demand forecasting, transport management, and next-generation order-engine initiatives.
Notable leadership hires: Team Lead, Security Shift Lead, Logistics Head
Zalando is Europe's leading online fashion and lifestyle retailer, serving 50M+ customers across 25 markets from a Berlin headquarters established in 2008. The company curates an international brand assortment — from major labels to local designers — and operates as a one-stop platform for apparel, footwear, accessories, and beauty. Operationally, Zalando runs 12 centralized fulfillment centers supported by regional warehouses in Italy, France, Poland, and Sweden, enabling rapid delivery across the continent. The company is publicly traded and employs over 10,000 people, with particular emphasis on technology, operations, and logistics functions. Current focus areas include demand forecasting, transport optimization, and multi-proposition order processing.
Zalando uses Kotlin and TypeScript for application development, React for frontend, SAP S/4HANA for core enterprise systems, Salesforce for customer engagement, PostgreSQL and AWS (RDS, Lambda, SQS) for data and compute, Kubernetes for orchestration, and Elasticsearch + Prometheus + Grafana for observability and monitoring.
Zalando posts roles in Germany, Poland, Sweden, Italy, China, Netherlands, Finland, and the United States, reflecting both regional fulfillment footprint and global tech talent sourcing.
Zalando'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.