Industrial equipment manufacturer with compressed air, vacuum, and power tool solutions
Atlas Copco is a 56,000-person public manufacturer running a heavy SAP footprint (MM, S/4HANA, Master Data Governance, SD, FI) paired with modern analytics (Databricks, Power BI, Azure Data Lake). Active adoption of Power BI and RPA signals a push toward faster data visibility and process automation across global operations. Engineering-led hiring (63 roles) combined with active projects around supplier development, component standardization, and new product industrialization reflects operational scaling pressure.
Notable leadership hires: Front-End Lead, Platform Lead
Atlas Copco Group manufactures compressed air and vacuum solutions, energy systems, dewatering and industrial pumps, industrial power tools, and assembly and machine vision systems for industrial customers worldwide. The company operates four distinct business areas and maintains a global presence across manufacturing, service, and support. With approximately 56,000 employees and 2025 revenues of 168 billion SEK, Atlas Copco is a large-scale industrial conglomerate managing complex multi-site operations, supply chains, and product development cycles.
Atlas Copco runs SAP (MM, S/4HANA, Master Data Governance, SD, FI), Dynamics 365, Databricks, Power BI, Azure Data Lake, and Kubernetes. Additional tools include ABAP, CMMS, MES, WMS, and design software (Adobe Creative Suite, Adobe Experience Manager Forms).
Active projects include supplier development initiatives, standardization of reusable components and template frameworks, compressor design, kaizen improvement efforts, global material master data consolidation, API integration, and industrialization of new product development processes.
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Atlas Copco 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.