Traffic and railway infrastructure engineering and design services
GTU Mobility is an engineering consultancy focused on transportation infrastructure—traffic systems, rail networks, and signaling technology. The tech stack reveals a classic CAD-driven design operation (AutoCAD, Revit, Allplan, RFEM, Plaxis, QGIS) paired with project management and geotechnical analysis tools, with Python present but not dominant. Active hiring is almost entirely engineering-focused (229 of 295 roles), with recent projects centered on railway modernization, BIM department setup, and surveying team expansion—suggesting a shift toward digital-first project delivery in a traditionally analog sector.
Notable leadership hires: Department Head Transportation, Head of Geotechnics, Surveying Lead, Geotechnik Team Lead, Lead Safety Engineer
GTU Mobility, part of the GTU Group, advises, plans, and manages transportation infrastructure projects across Germany. The company specializes in traffic facilities, rail networks, signaling systems, and geotechnical engineering. Operating from Hannover with 201–500 employees, the firm serves mid-market and infrastructure clients on complex new-build and renovation projects. Recent initiatives include establishing a BIM department, expanding surveying capabilities, and modernizing railway infrastructure, reflecting a transition toward digitized design and delivery workflows.
Primary tools include AutoCAD, Revit, Allplan, RFEM, and Plaxis for structural and geotechnical modeling, plus QGIS and ArcGIS for spatial analysis, and Microsoft Project for planning.
Yes. Engineering represents 229 of 295 active roles, with mid-level (134) and senior (86) positions dominant. Hiring is Germany-based only.
Focus areas include railway infrastructure modernization, new traffic facility construction and renovation, BIM department establishment, signaling system projects, and surveying team expansion.
GTU Mobility GmbH & Co. KG'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.