Rail signalling, parking, and fare collection systems for public transport
Scheidt & Bachmann operates across four transport-infrastructure verticals—parking, rail signalling, fare collection, and energy retail—with 3,300 employees across 25 global subsidiaries. The tech stack reveals a hybrid classical-to-modern transition: heavy C++ and AutoCAD legacy work layered with modern Python, CI/CD (Ansible, CheckMark, Icinga), and SAP migrations (EWM, S/4HANA). Projects center on rail digitalization and cyber-resilience compliance, while hiring accelerates in engineering, signalling a push to modernize legacy signal systems and meet NIS-2 requirements.
Scheidt & Bachmann is a 150-year-old family business (fifth generation) headquartered in Mönchengladbach, Germany, serving municipal transport authorities and rail operators worldwide. The company operates four core divisions: Parking Solutions, Signalling Systems (rail crossing and interlocking technology), Fare Collection Systems (digital ticketing), and Energy Retail Solutions. Active projects include digitalization of legacy signal systems, rail operations efficiency improvements, and cyber-resilience and NIS-2 compliance. The workforce is primarily based in Germany, with engineering roles representing the largest hiring segment.
Core stack: C++, Python, AutoCAD, SAP (S/4HANA, EWM, WM), Oracle, SQL Server, Active Directory, .NET, Java. Monitoring/ops: Ansible, CheckMK, Icinga, Graylog, Grafana. Design: Qt, BricsCAD, Yocto. Currently adopting SAP EWM and S/4HANA.
Approximately 3,300 employees across headquarters in Mönchengladbach and 25 subsidiaries worldwide. Company size range is 1,001–5,000.
Scheidt & Bachmann'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.