Analytics Engineer

About the role

Capitec is hiring an Analytics Engineer. We need this role because reliable analytics depend on well‑designed, well‑tested data foundations. We turn raw, complex data into structured, business‑ready datasets that teams can trust every day. This role exists to ensure data models, pipelines and semantic layers are built to perform, scale and support meaningful decision‑making across the business. Design, build and maintain production‑ready data models that transform raw data into usable datasets Develop scalable data transformations with strong validation, testing and quality controls Create and optimise semantic layers and aggregation logic that support reporting and analysis Maintain and troubleshoot live data models, resolving incidents and improving performance Lead and influence design decisions, balancing quality, speed and long‑term sustainability Support and guide less experienced engineers through reviews, documentation and practical coaching We work at the point where data becomes usable. The focus is on structuring, modelling and supporting data that feeds reporting and insights across multiple teams. Collaboration is key, with regular engagement across engineering, analytics and architecture. The work directly affects how quickly questions can be answered and how confidently decisions can be made.

Requirements

• Qualifications (Minimum)
• Bachelor's Degree in Analytical/Data/Technical or Other
• Qualifications (Ideal or Preferred)
• Honours Degree in Analytical/Data/Technical or Engineering - Other
• Knowledge
• Advanced grasp of
• Data modelling best practices.
• Data governance and quality assurance.
• Cloud data platforms and orchestration tools (e.g., Airflow, Prefect).
• Understanding of software engineering principles (e.g., CI/CD, testing).
• Skills
• Analytical Skills
• Communications Skills
• Planning, organising and coordination skills
• Problem solving skills
• Reporting Skills
• Conditions of Employment
• Clear criminal and credit record