Data platform and cloud infrastructure consultancy for enterprise clients
Information Tech Consultants operates as a services-driven data engineering shop, with 8 of 16 current open roles in data and the remainder in software engineering. Their stack spans the full cloud ecosystem (Azure, AWS, GCP) plus heavy big-data tooling (Spark, Hadoop, Kafka, Flink, dbt, Airflow), and they're actively adopting Azure Synapse and AWS Glue while maintaining Redshift—a pattern consistent with clients modernizing legacy warehouse infrastructure. Active projects center on large-scale data platforms and ETL pipeline optimization, while pain points flag data governance and UK regulatory compliance as acute internal pressures.
Information Tech Consultants is a London-based consultancy founded in 2013, serving mid-market and enterprise clients across cloud infrastructure, data engineering, and mobile application development. The firm staffs consulting engagements in Android/iOS development, big-data analytics (Spark, Hadoop, Kafka), AWS and Azure infrastructure, DevOps, and cybersecurity. Current hiring velocity is accelerating across data, engineering, and legal roles, with a distributed workforce spanning the UK, India, Pakistan, and the Philippines. The company's project backlog emphasizes cloud-native data platform architecture, ETL optimization, and data governance—reflecting both client demand and internal tooling maturity.
Core stack includes Azure, AWS, GCP, Kafka, Apache Spark, Snowflake, dbt, and Airflow for data work; Docker, Kubernetes, Jenkins, and Terraform for infrastructure. They actively adopt Azure Synapse and AWS Glue.
Large-scale and cloud-native data platforms, ETL pipeline optimization, data governance implementation, cloud data platform architecture, and Android feature development and bug fixes.
Information Tech Consultants'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.