For more than 20 years, Globeleq has been a long-term investor, developer, owner and operator of diversified power projects in Africa, where the company is one of the largest Independent Power Producers. With nearly 1,800MW of generation capacity in operation across 17 power plants in 7 countries, 485MW of new power projects in construction and >2,000MW in development, Globeleq is one of the largest independent power producers solely focused in Africa. Globeleq is 70% owned by British International Investment and 30% by Norfund, the development finance institutions of the UK and Norway, and has a proven track record for supporting the ongoing development of the African power sector.

Globeleq’s various generation technologies include gas, wind, solar PV, battery energy storage (BESS), and geothermal. The company is also actively pursuing new opportunities which are emerging from the energy transition. In South Africa, Globeleq owns and operates renewable energy (RE) power plants throughout the country.

The Senior Data & ML Engineer is responsible for executing the technical implementation of Globeleq’s Data Transformation initiative on behalf of, and under the direction of the Data Engineering Manager. The role focuses on designing and building the data ingestion and processing platform, including automated data pipelines, an integrated Single Source of Truth (SSOT)database, cross-functional system integrations and AI/ML-ready data structures.

The Senior Data & ML Engineer must translate strategic direction into concrete technical solutions, make sound architectural recommendations, and deliver scalable, robust, production-grade data capabilities that support reliable reporting, advanced analytics and machine learning use cases across the business.

This role will form part of our technical shared services team, contributing to the development of digital management systems, O&M projects implementations, integration of new power plants, and ongoing development within Globeleq’s Data Transformation Project.