Heavy equipment manufacturer across road construction, earthmoving, and material processing
Wirtgen Group operates six specialized machinery brands (WIRTGEN, VÖGELE, HAMM, KLEEMANN, BENNINGHOVEN, CIBER) serving road construction, earthmoving, and quarrying globally. The tech stack is enterprise-heavy — SAP ERP, SAP HANA, Power BI — with recent adoption of Databricks and Snowflake, signaling a shift toward data warehousing and analytics at scale. Hiring velocity is accelerating across engineering (55 open roles) and support (17), while active projects center on product digitalization (control systems, facility tech, intranet) and manufacturing throughput, reflecting a company scaling production and operational transparency alongside traditional equipment innovation.
Notable leadership hires: Service Technician Lead
Wirtgen Group is a Germany-based public manufacturer of construction and mining equipment, with ~9,000 employees across eight factories and a global dealer network. The six product lines serve distinct segments: road construction (WIRTGEN, VÖGELE, HAMM), aggregates processing (KLEEMANN, BENNINGHOVEN), and specialized equipment (CIBER). Operations span 13+ countries with active hiring in Germany, Belgium, Turkey, France, Australia, and North America. Core challenges include production capacity expansion, inventory and supply chain resilience, and cost reduction — typical of capital-equipment OEMs managing long lead times and global supply complexity.
Enterprise backbone: SAP ERP, SAP HANA, SAP BW/4HANA, SAP SuccessFactors. BI and analytics: Power BI, Hive. Engineering: Python, C/C++, MATLAB, Siemens NX (CAD), IEC 61131-3 (industrial controls). DevOps: GitLab CI/CD, Jira, Confluence. Infrastructure: Cisco, VMware, Active Directory.
Windhagen, Rheinland-Pfalz, Germany. Operations include eight factories globally and authorized dealer networks across 13+ countries including Germany, Belgium, Turkey, France, New Zealand, Australia, UK, Netherlands, Brazil, Ukraine, Bulgaria, Romania, and the US.
WIRTGEN GROUP'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.