Personal & Private Banking (PPB) Data Engineering Graduate Programme

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.

Minimum Requirements

• Computer Science
• Information Systems / Information Technology
• Engineering (Computer, Industrial, Electrical, or similar)
• Mathematics, Statistics, or Analytics
• Basic proficiency in SQL (queries, joins, aggregations).
• Understanding of relational databases and structured data concepts.
• Understanding of data concepts such as tables, schemas, keys, and transformations and data models.
• Must be a South African citizen.
• Should you have work experience, it should not exceed 12 months.
• Full academic transcripts to be submitted with application for undergraduate and postgraduate studies.

Responsibilities

• Build foundational data engineering capability.
• Create a standardised onboarding and upskilling framework aligned to enterprise data architecture, governance, and engineering standards.
• Assist with the development and maintenance of ETL/ELT pipelines using approved tools and platforms.
• Support data ingestion from diverse sources (databases, files, APIs, external vendors).
• Participate in data transformation and modelling activities to support analytics and reporting.
• Implement and monitor basic data quality and data integrity checks.
• Contribute to data documentation, metadata, and lineage artefacts.
• Support production data pipelines through monitoring, troubleshooting, and incident resolution.
• Participate in sprint planning, stand‑ups, and delivery ceremonies (Agile/Hybrid).
• Assist with testing, validation, and release activities within governed environments.
• Complete structured learning paths covering:
• SQL and data modelling fundamentals.
• Data engineering concepts (ETL/ELT, SCDs, data quality).
• Cloud data platforms and modern data architectures.
• Actively seek feedback and participate in mentoring and coaching sessions.
• Demonstrate continuous learning and improvement through practical application.
• Work closely with Data Analysts, BI developers, and business stakeholders.
• Communicate clearly on progress, risks, and dependencies.
• Adhere to data governance, security, and compliance policies.
• Understanding of data concepts such as tables, schemas, keys, transformations and data models.