AWS and Azure cloud migrations, data platforms, and infrastructure automation
UBDS Digital is a London-based cloud and data engineering consultancy running heavy AWS infrastructure (Lambda, Glue, Step Functions, EMR, Redshift, OpenSearch) alongside modernisation work on Azure and Microsoft 365. The hiring velocity is accelerating with 13 roles posted in the last 30 days—predominantly senior engineers and architects—signaling scaling of both delivery capacity and technical depth. Pain points cluster around legacy-to-cloud migrations and complex data/infrastructure programmes for public-sector clients, which aligns with their project portfolio of cloud transformations, CI/CD pipeline builds, and infrastructure-as-code implementations.
UBDS Digital delivers cloud migration, infrastructure automation, and data platform work for mid-market and enterprise clients in the UK, with particular depth in public-sector delivery. The company runs on a modern AWS stack (Airflow, Glue, Lambda, Redshift, OpenSearch) paired with infrastructure-as-code tooling (Terraform, CloudFormation) and strong security controls (GuardDuty, WAF, KMS, Security Hub). Core project areas include Microsoft 365 and ServiceNow implementations, multi-cloud transformations across AWS and Azure, container deployment, and data pipeline automation. The organisation was B Corp certified in September 2024, reflecting a stated commitment to stakeholder value beyond shareholder returns. Operating at 201–500 staff, UBDS was founded in 2000.
AWS and Azure. The tech stack centres on AWS services (Lambda, Glue, Redshift, OpenSearch, EMR, Batch, Athena). Projects include cloud transformations and migrations across both AWS and Azure, plus legacy-to-Azure infrastructure migration work.
Python, Apache Airflow, Docker, AWS Glue, Lambda, Step Functions, Redshift, OpenSearch, Terraform, CloudFormation, GitLab CI/CD, and comprehensive AWS security services (GuardDuty, Security Hub, WAF, KMS, Config, Inspector).
UBDS Digital'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.