Data Engineer

Capitec Ltd

Stellenbosch

On-site

ZAR 900,000 - 1,200,000

Full time

11 days ago
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Job summary

Capitec Ltd in Stellenbosch is seeking a Data Engineer to help build a strategic Regulatory Reporting Automation Platform that automates SARB regulatory returns. The role blends software engineering, data engineering, cloud technologies, and configurable rules engines to process large volumes of financial data into regulator-ready outputs.

You will design, build and maintain scalable data platforms and pipelines, collaborating with Data Architects to ensure data quality, auditability and

Qualifications

  • Advanced Python is the core requirement for this role.
  • Strong SQL modelling and query optimisation required.
  • Deep knowledge of AWS cloud data services preferred.
  • Experience with Django or similar backend frameworks advantageous.
  • Kubernetes and containerised data solutions desirable.
  • ETL design with error handling and recovery mechanisms.
  • Data lake and data warehouse patterns knowledge is essential.
  • Data quality and governance implementation experience.
  • CI/CD principles and automated testing expected.
  • Infrastructure as code and workflow orchestration tools beneficial.

Responsibilities

  • Design, build and maintain scalable data platforms and pipelines.
  • Analyse requirements and contribute to solution design with Data Architects.
  • Develop regulator-ready outputs from large volumes of financial data.
  • Collaborate with cross-functional teams to deliver data-driven solutions.

Skills

Advanced Python
SQL
AWS
API design
Django
Kubernetes
ETL pipelines
Data governance
CI/CD
Infrastructure as code
Batch processing
Data lake/warehouse

Education

Bachelor's Degree in Information Technology/Computer Science
Grade 12 National Certificate / Vocational
Honours Degree in Information Technology - Computer Science/IT

Tools

Snowflake

Job description

Join a team at the forefront of regulatory reporting transformation. The team is building a strategic Regulatory Reporting Automation Platform that automates the preparation, validation, and submission of regulatory returns required by the South African Reserve Bank (SARB). This platform replaces manual, spreadsheet-driven processes with a scalable, Python-based solution that enhances data quality, auditability, and operational efficiency. As a Data Engineer, you will contribute to a modern data platform that combines software engineering, data engineering, cloud technologies, and configurable rules engines to process large volumes of financial data and transform it into regulator-ready outputs.

Job description
About the team

Join a team at the forefront of regulatory reporting transformation. The team is building a strategic Regulatory Reporting Automation Platform that automates the preparation, validation, and submission of regulatory returns required by the South African Reserve Bank (SARB). This platform replaces manual, spreadsheet-driven processes with a scalable, Python-based solution that enhances data quality, auditability, and operational efficiency. As a Data Engineer, you will contribute to a modern data platform that combines software engineering, data engineering, cloud technologies, and configurable rules engines to process large volumes of financial data and transform it into regulator-ready outputs.

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
Additional Information
  • Clear criminal and credit record
Profile description

Join a team at the forefront of regulatory reporting transformation. The team is building a strategic Regulatory Reporting Automation Platform that automates the preparation, validation, and submission of regulatory returns required by the South African Reserve Bank (SARB). This platform replaces manual, spreadsheet driven processes with a scalable, Python-based solution that enhances data quality, auditability, and operational efficiency. As a Data Engineer, you will contribute to a modern data platform that combines software engineering, data engineering, cloud technologies, and configurable rules engines to process large volumes of financial data and transform it into regulator-ready outputs

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