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Data Engineer at Capitec Bank
Capitec Bank
August 31, 2026
Full-time
On-site
Purpose Statement
To design, build and maintain robust, scalable and efficient data platforms and infrastructure that powers 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 that keep financial 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 SQL — modelling principles and query optimisation
Snowflake — practical working experience is key; deep expertise is not required
Deep knowledge of AWS cloud data services
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 and version control
Infrastructure as code and workflow orchestration tools
Minimum Experience:
5 years in data engineering or a closely related field
Experience leading or contributing to data engineering projects
Strong SQL and Python skills
Hands-on experience with AWS and Snowflake
Experience building and optimising data pipelines for financial data analytics
Experience working with cross-functional teams — finance, IT — to understand business needs and deliver data-driven solutions, including communicating technical progress to non-technical stakeholders
Understanding of financial products and services
Additional Information
Clear criminal and credit record
To design, build and maintain robust, scalable and efficient data platforms and infrastructure that powers 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 that keep financial 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 SQL — modelling principles and query optimisation
Snowflake — practical working experience is key; deep expertise is not required
Deep knowledge of AWS cloud data services
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 and version control
Infrastructure as code and workflow orchestration tools
Minimum Experience:
5 years in data engineering or a closely related field
Experience leading or contributing to data engineering projects
Strong SQL and Python skills
Hands-on experience with AWS and Snowflake
Experience building and optimising data pipelines for financial data analytics
Experience working with cross-functional teams — finance, IT — to understand business needs and deliver data-driven solutions, including communicating technical progress to non-technical stakeholders
Understanding of financial products and services
Additional Information
Clear criminal and credit record