Analytics Engineer II at Capitec Bank

Purpose of the role:


The role bridges the gap between Data Engineers and Data Analysts by transforming complex data into accessible, reliable and performant data models and insights that support organisational decision‑making. The Analytics Engineer collaborates with stakeholders to understand analytical needs and partners with Data Architects and Data Modellers to design scalable data models aligned with enterprise data strategy. The role is responsible for designing and building efficient, reproducible data assets. This includes data models, data marts, semantic layers and working environments, as well as scalable transformations and pipelines. These assets enable Analytical Engineers and Data Analysts to deliver insights and reports quickly, consistently and with minimal friction.


What you'll do


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


Minimum Experience


At least 5 years' experience in analytics engineering or a closely related data role
Honours degree in an analytics/engineering or STEM or related field, PLUS at least 5yrs relevant experience OR
Bachelor degree in an analytics or STEM or related field, PLUS at least 8yrs relevant experience
Proven experience delivering and supporting production data models and pipelines
Strong data modelling capability and confidence designing business‑ready datasets
Advanced SQL skills and experience using Python for data transformation or automation
Experience building, testing and deploying data transformations using structured release practices
Experience working on cloud data platforms and workflow orchestration tools such as Airflow or Prefect
A solid understanding of data quality, governance and documentation
Experience influencing technical decisions and working closely with stakeholders


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