Global engineering firm designing infrastructure, water systems, and industrial projects
Ayesa Engineering operates a mature, project-delivery organization with 60+ years in infrastructure and industrial design. The tech stack reflects domain specialization—AutoCAD, Revit, STAAD.Pro, Primavera P6—paired with cloud and data platforms (Azure, Databricks, Power BI). Active hiring is almost entirely engineering-focused (48 of 52 open roles), weighted toward senior and mid-level staff, suggesting either scaling delivery capacity or backfilling specialized domain expertise. Projects span electrical substations, rail and road infrastructure, CO₂ capture, and hydrogen electrolysis—sectors where design complexity and document accuracy are critical differentiators.
Notable leadership hires: Unit Head
Ayesa Engineering is a 1,000–5,000-person engineering services firm ranked in the top 50 globally. The company delivers end-to-end consulting and design across water and environment, marine and coastal, buildings and cities, industrial engineering, oil and gas, energy, and transportation sectors. Work spans the full project lifecycle from concept through delivery. Operations are global with multidisciplinary teams; current hiring activity concentrates in Spain and Panama. The technical delivery stack combines specialist CAD and simulation tools (AutoCAD, Revit, STAAD.Pro, Aspen HYSYS, HEC-RAS) with project controls (Primavera P6, Microsoft Project) and modern data platforms (Azure, Databricks, Power BI), indicating ongoing infrastructure modernization alongside traditional engineering practice.
AutoCAD, Revit, Civil 3D, AutoCAD Plant 3D, Microstation, Navisworks, STAAD.Pro, and IDEA Statica for structural analysis. QGIS and HEC-RAS for water and environmental modeling; Aspen HYSYS for process simulation.
Microsoft Azure stack: Azure Data Factory, Azure IoT Hub, Azure Kubernetes Service, and Azure Data Lake Storage Gen2. Also uses Databricks for data processing and Power BI for reporting.
Ayesa Engineering'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.