Holcim Costa Rica produces cement, ready-mix concrete, aggregates and precast products, with a waste co-processing arm and a hardware franchise network. Its job posts center on structuring SAP PM and rolling out predictive maintenance, a plant-reliability push backed by Power BI and Tableau reporting. Hiring is accelerating and skews toward junior and intern engineering talent, which points to building maintenance and operations capacity in-house rather than buying senior expertise.
Holcim Costa Rica is a building-materials manufacturer headquartered in Pavas, San José, founded in 1964 and employing 501–1,000 people. Its portfolio covers cement, ready-mix concrete, aggregates, light and heavy precast elements, and construction solutions for housing, buildings, infrastructure and industrial projects. Through Geocycle, it converts waste into alternative fuels and other inputs. It also distributes products nationwide through the Disensa hardware-store franchise network. Design and engineering teams work with AutoCAD, Revit, SketchUp, SAP2000 and Mathcad, and the company runs operations on SAP.
Holcim Costa Rica uses SAP for operations, Power BI and Tableau for analytics, and AutoCAD, Revit, SketchUp, SAP2000 and Mathcad for engineering. Its marketing team uses Adobe Creative Cloud tools.
Yes. Hiring is accelerating, and engineering is the largest area, followed by construction, logistics, manufacturing and operations. Most openings are junior and intern roles based in Costa Rica.
Current initiatives include structuring SAP PM, standardizing maintenance procedures, deploying predictive maintenance, optimizing inventory, certifying residue valuation, and redesigning Disensa franchise storefronts.
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Holcim Costa Rica'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.