Denmark's leading online grocery with ML infrastructure modernization underway
nemlig.com operates Denmark's largest e-commerce grocery platform, serving over 1.4k employees from Brøndby with daily delivery across 83% of Danish households. The tech stack reveals a transition in motion: .NET + SQL backend for the webshop, but simultaneous investment in modern ML infrastructure (BigQuery, Cloud Composer, Python) and data pipeline work. Hiring velocity is accelerating with senior data roles dominating (3 of 5 open positions), suggesting data and ML ops are becoming core operational levers rather than add-ons—likely to address internal pain points around low conversion rates, manual process drift, and the cost of scaling ML at the grocery margins.
nemlig.com is Denmark's largest online supermarket, delivering groceries daily to households nationwide with over 11,500 SKUs spanning conventional items, organic products, discount lines, and specialty goods from local producers. The company operates 365 days a year from its Brøndby headquarters, reaching 83% of Danish households. With 1,400+ employees, nemlig.com balances e-commerce operations (Sitecore and Umbraco for digital properties, .NET backends) with fulfillment logistics and an emerging data science function. Active projects focus on modernizing the ML platform, optimizing data pipelines, and reducing operational friction—key priorities for a retail business managing high delivery volumes and competitive unit economics.
nemlig.com uses Sitecore and Umbraco for content management, .NET and SQL for backend services, Google Analytics and Hotjar for user insights, and Python, Git, GCP, and BigQuery for data and analytics infrastructure.
nemlig.com is actively building a modern ML platform and MLOps infrastructure, developing data pipelines and analytics models, and automating low-value manual processes to reduce operational drift at scale.
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