EPC contractor for hydrocarbons, power, mining and process plants
Ronesans Endustri Tesisleri delivers engineering, procurement and construction for industrial plants, with a stack spanning plant design (AVEVA E3D, Smartplant, Plant 3D), structural analysis (Tekla, STAAD.Pro, ETABS) and project controls (Primavera P6, Aconex, SAP). Hiring is accelerating and skews heavily toward senior engineering, tied to LNG work in Mozambique and a data center build, while job posts repeatedly flag logistics and inventory tracking pain.
Notable leadership hires: Contract Chief, Planning Chief
Ronesans Endustri Tesisleri is an Istanbul-based, privately held EPC contractor operating across hydrocarbons, power, metallurgy and mining, and process plants. The company has 10,001+ employees and runs large industrial construction programs, including LNG facilities, industrial plants in Adana/Ceyhan and structural work in Turkmenistan. Engineering is supported by multidisciplinary design tools covering process simulation (Aspen HYSYS), electrical design (ETAP, EPLAN) and 3D plant modeling. Enterprise operations run on SAP, Ariba and SuccessFactors, with reporting in Power BI.
Its stack includes AutoCAD, Revit, Navisworks, Tekla, AVEVA E3D, Smartplant, Primavera P6, Aconex, SAP, Ariba, SuccessFactors, Power BI and AWS.
Job posts reference an LNG project in Mozambique, a data center project, industrial plant construction in Adana/Ceyhan and an upper structure project in Turkmenistan.
Yes. Hiring is accelerating, concentrated in engineering with mostly senior-level roles in Turkey, plus construction, operations and leadership roles like Contract Chief and Planning Chief.
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Ronesans Endustri Tesisleri'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.