Personal and Private Banking (PPB) Data Engineer Graduate Programme

Johannesburg, GP, South Africa

Standard Bank Group

The Standard Bank group is a leading financial services provider that supports Africa’s growth and development.

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Company Description

Standard Bank Group is a leading Africa-focused financial services group, and an innovative player on the global stage, that offers a variety of career-enhancing opportunities – plus the chance to work alongside some of the sector’s most talented, motivated professionals. Our clients range from individuals, to businesses of all sizes, high net worth families and large multinational corporates and institutions. We’re passionate about creating growth in Africa. Bringing true, meaningful value to our clients and the communities we serve and creating a real sense of purpose for you.

Job Description

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

What You'll 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 hands-on 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 industry-standard 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 business-friendly 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 real-world business problems
  • Develop both technical and business understanding of data's 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 We're Looking For

  • Enthusiasm for learning and problem-solving
  • 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 You'll Gain

  • Hands-on experience with real-world data projects
  • Mentorship from experienced data professionals
  • Structured learning opportunities to build your technical skills
  • Exposure to business domains and how data drives decision-making
  • A supportive environment to transition from academic to professional work
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: APIs Banking Computer Science Data pipelines Data quality Engineering Machine Learning Mathematics Pipelines Privacy Security

Perks/benefits: Career development Startup environment

Region: Africa
Country: South Africa

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