Data Engineer Graduate Internship: Build Pipelines

Company : Standard Bank; Johannesburg; On-site; ZAR 89,000 - 179,000; Part time

Job summary

Standard Bank’s Personal and Private Banking (PPB) Data Engineer Graduate Programme in Johannesburg invites graduates to design, build and maintain data pipelines and storage solutions under the guidance of experienced team members. You’ll transform data into valuable insights that support business decision-making while growing your technical capabilities in a supportive environment.

Join a hands-on, mentored programme that develops data engineering skills across pipelines, databases, and data

Qualifications

• Degree in Computer Science, AI/ML, Data Science or Software Engineering.
• Mathematics or Applied Mathematics is advantageous.
• Computing/engineering disciplines provide strong analytical foundations.
• Informatics or Information Systems background supports data-focused roles.

Responsibilities

• 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

Education

Computer Science

Artificial Intelligence and Machine Learning

Electronic Engineering

Mechatronic Engineering

Mechanical Engineering

Mathematics, Applied Mathematics

Informatics, Information Systems

Software Development

Software Engineering

Data Science

Job description

Standard Bank’s Personal and Private Banking (PPB) Data Engineer Graduate Programme in Johannesburg invites graduates to design, build and maintain data pipelines and storage solutions under the guidance of experienced team members. You’ll transform data into valuable insights that support business decision-making while growing your technical capabilities in a supportive environment.

Join a hands-on, mentored programme that develops data engineering skills across pipelines, databases, and data