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Data Engineer at Capitec Bank
Capitec Bank
August 31, 2026
Full-time
On-site
Purpose Statement
You will design, build and maintain robust, scalable and efficient data platforms, applications and infrastructure that power data-driven decision-making across the organisation. You'll analyse business and system requirements, contribute to solution design documentation alongside Data Architects and build the pipelines and applications that keep data flowing reliably and efficiently.
Education (Minimum)
Grade 12 National Certificate / Vocational
Bachelor's Degree in Information Technology - Computer Science or Information Technology
Education (Ideal or Preferred)
Honours Degree in Information Technology - Computer Science or Information Technology
Knowledge and Experience
Knowledge:
Advanced Python — the core technical requirement for this role
Strong SQL — modelling principles and query optimisation
Deep knowledge of AWS cloud data services
Application development and API design — Django or a similar backend framework is advantageous
Kubernetes and containerised data solutions
Batch processing concepts and basic stream processing
ETL pipeline design, including error handling and recovery mechanisms
Data lake and data warehouse patterns
Data quality and governance implementation
CI/CD principles, version control and automated testing
Infrastructure as code and workflow orchestration tool
Experience:
5 years in data engineering or a closely related field — what counts is direct involvement in solution implementation and integration
Experience leading or significantly contributing to data engineering projects
Strong, hands-on Python and AWS experience
Backend application development experience — Django or similar frameworks;
API development experience
Experience working with cross-functional teams — finance, IT, business analysts — to understand business needs and deliver data-driven solutions, including communicating technical progress to non-technical stakeholders
Snowflake experience is an advantage
You will design, build and maintain robust, scalable and efficient data platforms, applications and infrastructure that power data-driven decision-making across the organisation. You'll analyse business and system requirements, contribute to solution design documentation alongside Data Architects and build the pipelines and applications that keep data flowing reliably and efficiently.
Education (Minimum)
Grade 12 National Certificate / Vocational
Bachelor's Degree in Information Technology - Computer Science or Information Technology
Education (Ideal or Preferred)
Honours Degree in Information Technology - Computer Science or Information Technology
Knowledge and Experience
Knowledge:
Advanced Python — the core technical requirement for this role
Strong SQL — modelling principles and query optimisation
Deep knowledge of AWS cloud data services
Application development and API design — Django or a similar backend framework is advantageous
Kubernetes and containerised data solutions
Batch processing concepts and basic stream processing
ETL pipeline design, including error handling and recovery mechanisms
Data lake and data warehouse patterns
Data quality and governance implementation
CI/CD principles, version control and automated testing
Infrastructure as code and workflow orchestration tool
Experience:
5 years in data engineering or a closely related field — what counts is direct involvement in solution implementation and integration
Experience leading or significantly contributing to data engineering projects
Strong, hands-on Python and AWS experience
Backend application development experience — Django or similar frameworks;
API development experience
Experience working with cross-functional teams — finance, IT, business analysts — to understand business needs and deliver data-driven solutions, including communicating technical progress to non-technical stakeholders
Snowflake experience is an advantage