Verified student network connecting Gen Z members with brand partners
UNiDAYS runs a verified student affinity network linking young members to retail brands, built on a C# and TypeScript stack over AWS (ECS, EKS, Terraform). Its data layer is unusually layered for its size: Redshift, BigQuery, Athena, dbt, Airflow, Fivetran and Talend coexist, which fits job-post pain points around data integrity and analytical debt. Hiring is accelerating and sales-heavy, aimed at taking verification beyond retail to SME partners.
Notable leadership hires: Business Development Director
UNiDAYS, founded in 2011 and headquartered in London, operates a student affinity network that verifies student identity and connects members with brand offers. Brands and partners are its paying customers, using the network to reach Gen Z shoppers through a retail marketplace and verified-identity engagement. The privately held company employs 201–500 people and hires across the United Kingdom, Canada and the United States. Its platform runs on AWS with a React and Next.js front end, Salesforce for commercial operations, and a broad analytics toolset spanning Segment, Google Analytics 4 and multiple data warehouses.
UNiDAYS uses C#, Python and TypeScript with React and Next.js, runs on AWS (ECS, EKS, RDS, DynamoDB, Neptune) via Terraform, and analyzes data with Redshift, BigQuery, dbt, Airflow and Fivetran.
Yes. Hiring is accelerating and concentrated in sales and business development, including a Business Development Director role, with smaller data and engineering hiring in the UK, Canada and US.
Job posts point to expanding its verification platform across SME partners, global partner acquisition, new partner launches, new measurement standards, and data governance for product data capture.
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UNiDAYS'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.