European online fashion and lifestyle platform with in-house logistics
Zalando runs a pan-European fashion ecommerce platform on a cloud-native stack of AWS, Kubernetes, Terraform, Java/Spring Boot, Go and a TypeScript/React/GraphQL front end. Adoption of SAP BTP alongside SAP integration pain points signals back-office modernization, while n8n and MCP in the stack point to early agentic automation work. Hiring is accelerating and senior-heavy, led by engineering with a notable marketing push around creators and local activations.
Notable leadership hires: Logistics Team Lead, Head of Engineering
Zalando is a Berlin-headquartered public company, founded in 2008, operating an online platform for fashion and lifestyle across Europe. It sells clothing, footwear, accessories and beauty products from international and local brands directly to consumers. The company employs more than 10,000 people and runs its own fulfillment network, supported by regional warehouses in several European countries. Current hiring spans Germany, China, Romania and Finland across engineering, marketing, operations, data, finance, logistics and legal functions.
Zalando's stack includes AWS, Kubernetes, Docker, Terraform, Java with Spring Boot, Go, Python, TypeScript, React, GraphQL, BigQuery, Prometheus, Grafana and Sentry. It is also adopting SAP BTP.
Zalando is currently hiring in Germany, China, Romania and Finland, with engineering the largest hiring area followed by marketing and operations.
Active initiatives include creator toolset optimization, n8n and Claude automation pipelines, preventive maintenance of warehouse automation, multi-objective ranking and allocation, and OECD Pillar 2 tax reporting.
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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.