Data Engineer

Capitec; Stellenbosch; On-site; ZAR 600,000 - 1,000,000; Full time

Job summary

Capitec Ltd in Stellenbosch seeks an experienced Data Engineer to design, build and maintain scalable data platforms powering financial analytics. You will partner with Data Architects to design pipelines and ensure reliable data flows across the organisation.

The ideal candidate has 5+ years in data engineering, strong SQL and Python, hands-on AWS and Snowflake expertise, and knowledge of ETL, data lakes, data warehouses and governance. Bachelor's degree in IT or CS; honours preferred.

Qualifications

• 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 to deliver data-driven solutions.
• Understanding of financial products and services.

Responsibilities

• Design, build and maintain robust, scalable data platforms and infrastructure.
• Analyse business and system requirements, contribute to solution design documentation.
• Build pipelines that ensure reliable financial data flows across the organisation.

Skills

Advanced SQL

Python

Data modelling

CI/CD

AWS

Snowflake

ETL pipelines

Data governance

Education

Bachelor's Degree in Information Technology - Computer Science or Information Technology

Honours Degree in Information Technology - Computer Science or Information Technology

Tools

Snowflake

AWS

CI/CD tools

Job description

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.

Job description

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

Profile description

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