Data Engineer Intern
Summary
A full-time, on-site data engineering internship in Polokwane where the intern supports ETL pipelines, data modeling, and data warehousing for the company's AI-driven intelligence platforms. Work involves SQL/NoSQL databases, a programming language like Python/Java/Scala, and collaboration with data engineers and scientists.
Company Description
Morero Intelligence Group (Pty) Ltd is an intelligence and technology company that builds systems to help organizations understand complexity, govern information, and make better decisions. The company develops institutional intelligence solutions that integrate data, artificial intelligence, analytics, governance, and decision intelligence for organizations operating in complex environments. Its work spans areas such as decision intelligence, AI and machine learning, AI governance, data and knowledge systems, intelligent digital platforms, and African language AI. Morero Intelligence Group focuses on technology that connects intelligence with purpose, enabling organizations to move from fragmented information to structured understanding and informed action. The company is building proprietary platforms tailored to the African context while addressing global challenges in AI, data, governance, and organizational intelligence.
Role Description
The Data Engineer Intern will support the design, development, and maintenance of data pipelines and infrastructure that power Morero Intelligence Group’s intelligence solutions. Day-to-day tasks include assisting with extracting, transforming, and loading (ETL) data from various sources, contributing to data modeling and data warehousing activities, and helping ensure data quality, reliability, and performance. The intern will collaborate with data engineers, data scientists, and analysts to prepare datasets for analytics, reporting, and machine learning use cases. This is a full-time, on-site role based in Polokwane, requiring close coordination with the team and active participation in project work, documentation, and continuous learning.
Qualifications
- Foundational skills in Data Engineering and practical exposure to building or maintaining data pipelines.
- Knowledge of Data Modeling and Data Warehousing concepts to support structured and scalable data solutions.
- Ability to work with Extract Transform Load (ETL) processes and tools to move and transform data between systems.
- Basic competency in Data Analytics, including querying data and generating insights to support decision-making.
- Familiarity with databases (SQL and/or NoSQL) and at least one programming language commonly used in data engineering (e.g., Python, Java, or Scala).
- Understanding of cloud or distributed data environments (e.g., AWS, Azure, GCP, or similar platforms) is an advantage.
- Strong analytical thinking, attention to detail, and ability to document technical work clearly.
- Currently pursuing or recently completed a degree or diploma in Computer Science, Information Systems, Data Science, Engineering, or a related field.
- Interest in AI, data governance, and building technology solutions for the African context.
- Ability to work hybrid in Polokwane, collaborate effectively in a team, and learn in a fast-paced environment.