Multidisciplinary engineering and project management for infrastructure and energy
Ayesa Engineering delivers design, consultancy and construction management across water, energy, transport, industrial and building sectors. Its stack pairs deep CAD/BIM and simulation tooling (Revit, Civil 3D, Tekla, Aspen HYSYS, PLAXIS) with an Azure data layer (Databricks, Data Factory, IoT Hub), pointing to digital-twin and data-driven asset work. Hiring is accelerating and overwhelmingly senior engineering, concentrated in Spain, Peru and the UK.
Notable leadership hires: Section Head, Airport Business Director
Ayesa Engineering is a privately held engineering and consultancy firm with 1,001–5,000 employees. It covers the full project lifecycle across water and environment, marine and coastal, buildings and cities, industrial, oil and gas, energy and transportation. Current work spans solar PV plant engineering, railway and road infrastructure, water treatment plant rehabilitation and large-scale civil works. The firm operates internationally, with active hiring in Spain, Peru and the United Kingdom, and is building out airport-sector leadership.
Ayesa Engineering uses AutoCAD, Revit, Civil 3D, Tekla Structures, Navisworks, STAAD.Pro, Aspen HYSYS, PLAXIS, ProjectWise, Primavera P6 and Power BI, plus Azure, Databricks and Azure Data Factory.
Ayesa Engineering is hiring in Spain, Peru and the United Kingdom, with hiring accelerating and focused mainly on senior engineering roles plus construction positions.
Current work includes utility-scale photovoltaic plant engineering, a road infrastructure inventory, railway projects, water treatment plant rehabilitation, industrial infrastructure and international tenders.
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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.