Job Description
Globeleq, a leading Independent Power Producer (IPP) in Africa with over 20 years of experience, is seeking a Data Analytics Graduate Intern to join their Economic Development Department in South Africa. With nearly 1,500MW of operational generation capacity across 16 power plants in 7 countries and 488MW under construction, Globeleq is actively expanding its renewable and conventional energy portfolio. The company is majority-owned by British International Investment and Norfund and is committed to driving Africa’s power sector growth through innovative and sustainable solutions.
Globeleq utilizes diverse generation technologies including gas, wind, solar PV, battery energy storage systems (BESS), hydro, and geothermal. As part of its Data Transformation initiative, Globeleq is centralizing its data into a single source of truth to optimize data flows, automation, integration, and strategic business insights across the organization.
The Data Analytics Graduate will operate in a hybrid capacity bridging Data Engineering and Performance Analytics, supporting the development of sustainable data pipelines and the production of clean, reliable datasets for plant performance analysis. This internship offers hands-on experience across the data lifecycle—collection, storage, processing, validation, and visualization—while fostering professional growth through practical experience and mentorship.
Key Responsibilities
- Support data ingestion and automation via SQL, APIs, ETL workflows, and report automation.
- Assist in building and maintaining sustainable data pipelines into the central data warehouse and analytics environment.
- Collaborate with Performance Analytics teams to generate clean datasets and reusable models for plant performance evaluation.
- Contribute to monitoring site-level performance, availability, and operational efficiency improvements.
- Participate in data governance to ensure compliance with audit and risk standards.
- Support reporting and data visualization projects to enable strategic operational and commercial decision-making.
- Explore potential AI/ML applications for predictive and prescriptive analytics.
- Engage in cross-functional projects to strengthen integration between data engineering and performance analytics.
Skills and Competencies
- Strong analytical and problem-solving abilities.
- Proficiency or eagerness to learn SQL, Python, or other data tools.
- Quick adaptability to new systems and technologies.
- Excellent communication and teamwork skills.
- Strong organizational skills with meticulous attention to detail.
- Innovative mindset passionate about data-driven insights.
Experience, Knowledge & Qualifications
- Recent bachelor’s degree in Data Science, Computer Science, Engineering, Statistics, or related discipline.
- Interest in data engineering, analytics, and renewable energy sectors.
- Familiarity with data pipelines, APIs, and reporting tools is a plus.
- Fluency in written and spoken English.
- Previous internship or project experience in data analytics or engineering is desirable but not mandatory.
Application Deadline: 12 April 2026