B2B wholesale network and data platform for fashion brands and retailers
Fashion Cloud operates a two-sided marketplace connecting 700 brands with 30,000 retailers, backed by a data infrastructure stack built on Dagster, ClickHouse, and AWS. The tech choices—Dagster for orchestration, ClickHouse for analytical queries on high-volume data, Cube.js for metrics—reveal an organization scaling ETL and product-data problems across a fragmented fashion supply chain. Hiring velocity is decelerating despite active data projects, suggesting either operational maturity or resource constraints in pipeline development.
Fashion Cloud is a B2B wholesale ecosystem for fashion, built as a network platform and data business. The core offering connects apparel and accessories brands with retailers through online and offline channels, augmented by product data integration, order management (OrderWriter), and a content broker service. The company operates across Germany and the Netherlands, with a team weighted toward data engineering and senior technical roles. Active projects center on ETL scalability, brand onboarding workflows, and financial system optimization—reflecting the operational complexity of managing multi-tenant data pipelines for thousands of trading partners.
Python, Dagster, ClickHouse, Cube.js, Apache Airflow, AWS (Lambda, ECS, RDS, SQS), Django, FastAPI, PostgreSQL, BigQuery, and n8n for workflow automation.
Scalable ETL pipelines for fashion product data, data integration workflows for brand onboarding, POS data provisioning, metrics generation, and revamping the onboarding process for new retailers and brands.
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