Denim and workwear retailer scaling across Northern Europe with cloud infrastructure
Lager 157 is a Swedish apparel company founded in 1999, now operating at 201–500 employees with active expansion into Germany and Scandinavia. The tech stack (Snowflake, AWS, Python, Node.js, React, Power BI) reveals a company building modern data and backend infrastructure—unusual for traditional retail—while pain points around data transfer reliability, integration downtime, and manual workflows suggest they are mid-transition from legacy systems to cloud-native operations. Hiring velocity is accelerating, heavily weighted toward sales and operations roles across four countries.
Notable leadership hires: Chief Financial Officer
Lager 157 manufactures and retails denim, workwear, and basic apparel, with heritage in Scandinavian textile production dating to 1999. The company operates from headquarters in Gällstad, Sweden, and serves wholesale, B2B, and direct-to-consumer channels across Sweden, Norway, Germany, and Denmark. Current priorities include store expansion (notably Hanau, Germany), customer club membership growth, and operational automation—reflected in active projects around backend services, data synchronization, and financial process scaling. The organization balances retail and logistics operations with emerging data and engineering functions.
Snowflake, AWS, Python, Node.js, JavaScript, Azure, GCP, Adobe Creative Cloud, Figma, After Effects, React, and Power BI. The mix signals cloud-first data infrastructure and modern frontend development.
Yes. Founded in 1999 and headquartered in Gällstad, Sweden, the company is publicly listed with 201–500 employees.
Lager 157'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.