Technical consulting for nuclear, power, and chemical engineering in regulated sectors
DBD International is a 20-year-old consulting firm specializing in complex engineering and technical challenges across nuclear, power, and chemical industries. The tech stack reveals a data-heavy practice: Power BI, Python, Databricks, and Azure analytics tools dominate, with domain-specific simulation software (MATLAB, Simulink, Aspen Plus, AnyLogic) embedded alongside traditional engineering tools (AutoCAD, Primavera P6). Active hiring is engineering-skewed (7 of 14 roles), with a majority senior-level, suggesting they're scaling delivery capacity and modernizing internal practices to support larger programs.
DBD provides independent technical and strategic consulting to enterprises in nuclear, power, and chemical processing. The firm operates across major UK nuclear sites and serves clients in North America, Europe, Japan, and South Africa. Their core service areas span commissioning, decommissioning, operations, safety, process engineering, and simulation. Personnel typically bring 20+ years of international experience in highly regulated environments. Recent project focus includes defence sector work, new-build and decommissioning programs, data governance implementations, and enterprise data platform rollouts.
Power BI, Python, Databricks, Azure (Data Factory, Synapse Analytics, Cosmos DB, DevOps, Purview, AD), MATLAB, Simulink, Aspen Plus/HYSYS, AnyLogic, AutoCAD, SQL Server, Primavera P6, Java, C++, Scala.
Headquarters in Birchwood, England. Operations span UK nuclear sites, plus client work in North America, Europe, Japan, and South Africa. Currently hiring in the United States.
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DBD International'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.