Associate Data & ML Engineer
Listed on 2026-02-25
-
Engineering
Data Engineer -
IT/Tech
Data Engineer
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 Associate 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 the Globeleq’s data development journey through data ingestion, processing, automated data pipelines, and the establishment of an integrated Single Source of Truth (SSOT) database, cross-functional system integrations and AI/ML-ready data structures.
The Associate 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 future 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.
Key Responsibilities- Platform maintenance and development of Globeleq’s Central Asset Management system (CAMs), including calculation development, on-boarding assets and equipment, and a continuous improvement focus.
- Develop, implement and extend the integrated SSOT database, consolidating data from CAMs, ERP, OT/IoT, SharePoint and other platforms according to agreed standards ensuring scalable data flows.
- Develop modular and scalable data ingestion using API integrations, SQL stored procedures and ETL frameworks, maintaining reliable, automated data ingestion between internal and external platforms to the SSOT database.
- Support and provide data development solutions. Be a practical driver and enforcer of the Data Transformation plan on behalf of the Data Engineering Manager; escalating risks and developing solutions.
- Develop scalable data models across clearly defined business layers, including staging (raw landed data), core (cleaned and standardised single source of truth), marts (business-ready views for specific domains), and feature sets (model-ready tables for machine learning and advanced analytics).
- Develop and support workflow automation and lightweight data applications using tools such as Power Apps and Power Automate, integrating these solutions with the core data platform to enable efficient business processes.
- Develop ML algorithms, dedicated toward anomaly detection, prediction and neural networks. Ensuring all data models, pipelines and storage approaches are AI/ML-ready, including feature-ready datasets for pattern recognition, prediction and anomaly detection
- Own end-to-end development and processing (data algorithms and ML solutions)
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