Upstream oil and gas operator focused on field redevelopment and production optimization
Assala Energy operates an upstream oil and gas portfolio with a technical stack anchored in SAP (PM and MM modules), PI ProcessBook, Petrel, and industrial control systems (Siemens, Honeywell, Yokogawa). The hiring surge—14 roles posted in the last 30 days across engineering, legal, and wells—reflects accelerating field development activity. Pain points cluster around export performance, cost optimization, equipment reliability, and specialist resource planning, suggesting the company is scaling production while managing operational complexity across multiple geographies.
Assala Energy is a privately held oil exploration and production company headquartered in London, operating across Africa and Europe. Founded in 2017, the company pursues a strategy of redeveloping existing fields, unlocking value from mature assets, and extending field life through engineering and capital discipline. The operational footprint spans Gabon, France, and the United Kingdom, with active projects ranging from brownfield and greenfield development designs to hydrotesting, commissioning, and compliance initiatives. The organization manages hazard studies, well measurement campaigns, and contractor performance alongside ESG and regulatory obligations.
SAP (PM and MM modules) for enterprise resource planning, PI ProcessBook for process monitoring, Petrel for reservoir modeling, and industrial controllers from Siemens, Honeywell, and Yokogawa. Infrastructure runs on Azure, VMware, and Red Hat/CentOS.
The company operates in and hires from Gabon, France, and the United Kingdom, reflecting its upstream portfolio across Africa and Europe.
Assala Energy'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.