Strategic estates management for NHS trusts, integrated care boards, and GP practices
NHS Property Services manages around 3,000 buildings across the English NHS estate through end-to-end estates strategy, facilities management, and asset disposal. The tech stack is entirely Azure-native—Synapse Analytics, Data Lake, Power Platform, and M365—paired with infrastructure-as-code (Terraform, Bicep) and identity layers (OAuth 2.0, OpenID Connect). Current hiring velocity is accelerating with 24 roles posted in the last 30 days, weighted heavily toward operations; the enterprise data warehouse and data lake projects address their primary internal pain: fragmented data sources and reporting gaps.
NHS Property Services is a government agency founded in 2013 to deliver estates and facilities management services across the NHS in England. They serve over 5,500 staff and partner directly with Integrated Care Boards, NHS Trusts, and GP practices to assess, manage, and optimize building portfolios. The organization manages around 3,000 facilities and operates as part of the NHS, meaning revenue is reinvested within the health system. Services span estate strategy, space adaptation, town planning compliance, asset disposal, and facilities management. Last year they unlocked over £150 million in capital for reinvestment or reimagined spaces. With 1,001–5,000 employees based in Stockport, England, they handle strategy through execution—from business case development to property transactions.
Azure ecosystem: Synapse Analytics, Data Lake, Blob Storage, SQL, Virtual Networks, and Network Security Groups. Microsoft 365, Power Platform, Terraform, Bicep, API Management, OAuth 2.0, Application Insights, and Kusto Query Language for analytics.
Enterprise data warehouse and data lake implementation, automated MI reporting, Microsoft 365 and Power Platform rollout, NHS Open Space marketing campaign, procurement automation across facilities categories, and category strategy for vendor standardization.
Other companies in the same industry, closest in size