Personal & Private Banking (PPB) Data Engineering Graduate Programme at Standard Bank Group

Job Description

• The Data Engineering Graduate Programme is a structured development pathway designed to attract, develop, and retain high‑potential graduates with strong analytical and technical aptitude.
• The programme provides graduates with hands‑on exposure to enterprise‑scale data platforms, modern data engineering practices, and real business cases, while building a sustainable pipeline of future Data Engineers for the organisation.  
• Graduates will rotate through core components of the data engineering lifecycle, including data ingestion, transformation, modelling, and data quality, while being mentored by experienced Engineers and Analysts.  

Key responsibilities:

The programme aims to:  

• Build foundational data engineering capability.  
• Create a standardised onboarding and upskilling framework aligned to enterprise data architecture, governance, and engineering standards.  

Core Technical Tasks  

• 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.  

Operational and Delivery Tasks  

• 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.  

Learning and Development Journey  

• 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.  

Collaboration and Professional Conduct  

• 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.  

Qualifications

Completed Undergraduate degree (within the last 2-3 years) or Postgraduate qualification (completed within the last 2-3 years or completing in 2026): 

• Computer Science  
• Information Systems / Information Technology  
• Engineering (Computer, Industrial, Electrical, or similar)  
• Mathematics, Statistics, or Analytics  

Additional Information

Technical Foundation (Minimum but not mandatory)  

• 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. 

Minimum requirements: 

• 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. 

Programme duration: 12 months 

Application closing date: 30 June 2026