Forged and machined automotive components across steel, aluminum, and micromobility
Hirschvogel is a 6,300-person manufacturing group producing powertrain, transmission, chassis, and body components for passenger cars, commercial vehicles, and micromobility sectors across three continents. Their tech stack is dominated by SAP (ERP, S/4HANA, SuccessFactors, Analytics Cloud) paired with industrial automation tools (Beckhoff, Siemens, ABB, Fanuc) and engineering software (Creo, PolyWorks). Current hiring is heavily skewed toward manufacturing and engineering roles with intern-level emphasis, while active projects center on robotics integration, production data visualization, and surface defect detection—signaling a push toward automated quality control and shop-floor digitization.
Hirschvogel Group is a family-owned, independent automotive components manufacturer headquartered in Denklingen, Bavaria. The holding comprises eight production companies across three continents, generating €1.4 billion in 2024 sales. They supply forged and machined steel and aluminum parts to OEMs in passenger cars, commercial vehicles, and emerging micromobility categories, with additional revenue from electronic systems and related product solutions. The organization operates a vertically integrated manufacturing footprint with in-house engineering, logistics, and procurement functions.
SAP ecosystem (ERP, S/4HANA, SuccessFactors, Analytics Cloud), industrial automation (Beckhoff TwinCAT, Siemens TIA Portal, ABB, Fanuc), CAD/CAM (Creo, PolyWorks), Power BI, Azure, and SCADA/HMI systems for production.
Yes. Engineering roles represent 17 of 61 active postings. Hiring is concentrated in Germany with emphasis on mid-level and intern positions. Manufacturing roles (22 openings) dominate the active pipeline.
Robotics system integration, production data visualization tools, image processing for surface defect detection, lean management training, standardized surface inspection solutions, and global logistics process standardization.
Hirschvogel 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.