Alexander Forbes: Data Engineering Internship Programme 2025 / 2026

Main Accountabilities: 

• Participate in the development of data solutions for the business including the development of database objects, data models, SQL code, and APIs.
• Take part in general maintenance tasks for the various data solutions developed.
• Partake in project sessions and deliver on deadlines
• Analyse datasets to enable the development of various data solutions as well as to extract actionable insights for business problems
• Present data analysis and data solutions developed to technical and non-technical stakeholders
• General support to the business relating to the data solutions.
• Contribute to documentation and knowledge sharing within the team

Requirements: 

• A National Diploma or Degree(s) majoring in Science or Engineering preferably in:

1. Data Science,
2. Computer Science,
3. Statistics,
4. Electrical Engineering.
5. Computer Engineering.
6. Information Engineering.
7. Mechanical Engineering.
8. Industrial Engineering.

• Basic understanding and exposure to software engineering methodologies, programming principles, database management systems and SQL.

Skills and Competencies:

The graduate candidate we are looking for will be:

• A highly motivated and analytical individual with a strong academic background having a passion for data. He or she will need to be interested in pursuing a career in the data space: data engineering or data science. 
• He or she must be willing to learn and comfortable being challenged with complex problems.
• Must be a team player 
• He or she must have a keen interest in developing their skills in the following areas: data analysis, SQL development, ETL processes, general programming practices, and API development. Exposure to database systems and software engineering methodologies will be beneficial.