Construction, engineering and building-systems services for critical infrastructure
Engemon is a São Paulo engineering and construction group whose stack pairs BIM tools (Revit, Navisworks) and Primavera P6 scheduling with building-automation protocols like BMS, Modbus, LonWorks and SCADA, pointing to delivery of technically dense, systems-heavy facilities. Accelerating, junior-weighted hiring in construction and engineering, plus commissioning work on critical-infrastructure mechanical systems, suggests a growing project pipeline.
Notable leadership hires: Electrical Project Lead
Engemon Engenharia & Construção is a privately held group headquartered in São Paulo, founded in 1990, with 1,001–5,000 employees. It combines construction, technology, energy and operational services, supporting clients from planning through post-project phases. Its work spans BIM-driven design and quantification, project scheduling, and the commissioning and startup of mechanical and electrical installations. The company runs on TOTVS Protheus and SAP for back-office operations, holds ISO 14001 and ISO 45001 practices, and hires in Brazil.
Engemon uses Revit, AutoCAD and Navisworks for BIM and design, Oracle Primavera P6 for scheduling, Power BI for reporting, and TOTVS Protheus and SAP for ERP.
Yes. Hiring is accelerating and concentrated in construction and engineering, mostly junior and mid-level roles in Brazil, with an Electrical Project Lead among leadership openings.
Current work includes commissioning and startup of mechanical systems in critical infrastructure, normative test monitoring, supplier factory visits, and implementing a quality management system with an audit program.
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Engemon Engenharia & Construção'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.