Personal and Private Banking PPB Data Engineer Graduate Programme

To learn and develop skills in designing building and maintaining data pipelines and data storage solutions under the guidance of experienced team members. Youll help transform data into valuable insights that support business decisionmaking while growing your technical capabilities in a supportive environment.

What Youll Learn & Contribute To

1. Data Fundamentals

• Assist in building data pipelines that transform raw data into useful information
• Learn to work with different types of databases and data models
• Help with data migration projects between systems
• Gain handson experience analyzing data quality and suggesting improvements
• Collaborate with team members to understand how data flows across systems

2. Technology & Tools

• Develop skills working with industrystandard data technologies and cloud platforms
• Learn about data infrastructure and how to optimize it for performance
• Get introduced to API concepts and how they enable data sharing
• Build foundational knowledge in programming languages used for data processing
• Experience how automation can improve data workflows

3. Collaboration & Communication

• Work alongside experienced data professionals who will mentor your development
• Participate in meetings with business teams to understand their data needs
• Learn how to translate technical concepts into businessfriendly language
• Contribute ideas and perspectives as part of a diverse team

4. Innovation & Growth

• Help identify opportunities to improve existing processes
• Learn to create tools that make data more accessible to other teams
• Apply your academic knowledge to realworld business problems
• Develop both technical and business understanding of datas value

5. Best Practices & Governance

• Learn about data security privacy and compliance requirements
• Understand how data quality is maintained throughout its lifecycle
• Gain exposure to industry standards and best practices
• See how proper documentation ensures data usability and traceability

Qualifications :

Final year undergraduate Honours or Masters Degree (Completed or currently completing in 2025 in:

• Computer Science
• Artificial Intelligence and Machine Learning
• Electronic Engineering
• Mechatronic Engineering
• Mechanical Engineering
• Mathematics Applied Mathematics
• Informatics Information Systems
• Software Development
• Software Engineering
• Data Engineering
• Data Science
• Quantitative Risk Management

Additional Information :

Minimum Requirements

• Must be a South African citizen
• Must be under 30 years of age
• No more than two years work experience
• Minimum of 65 average over all years of study

What Were Looking For

• Enthusiasm for learning and problemsolving
• Ability to work well with others in a team environment
• Resilience when facing challenges
• Creative thinking and analytical skills
• Curiosity and willingness to ask questions
• Positive attitude and growing confidence
• Interest in understanding business applications of data

What Youll Gain

• Handson experience with realworld data projects
• Mentorship from experienced data professionals
• Structured learning opportunities to build your technical skills
• Exposure to business domains and how data drives decisionmaking
• A supportive environment to transition from academic to professional work

Remote Work :

No

Employment Type :

Fulltime