Analytics Engineer II
Capitec Bank · Stellenbosch, Western Cape
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Start free — we apply for you →Purpose Statement
- We're looking for a technically versatile Analytics Engineer to sit at the intersection of data engineering and data analysis — To bridge the gap between Data Engineers and Data Analysts by transforming complex data into accessible, reliable and performant data models and insights that drive decision-making across the organisation. You'll collaborate with stakeholders to understand analytical needs, partner with Data Architects and Data Modellers to design scalable models, and build the efficient, reproducible data assets — including data models and marts, semantic layers and working environments — along with the transformations and pipelines that let analysts deliver insights with speed, consistency and minimal frictionat a time when both worlds are running side by side. The team is migrating to a modernised data platform while keeping the legacy environment live. You'll make sure the data stays clean, reliable and accessible across both — and that no one on either side of the transition feels the friction.
What you'll do
- Build scalable data models, marts and semantic layers
- Design reproducible transformations and pipelines across legacy and modernised environments
- Partner with Data Architects and Data Modellers to align on enterprise data strategy
- Maintain data quality and governance standards throughout the migration
- Productionise reports using engineering principles
- Work with CI/CD pipelines, testing frameworks and orchestration tools like Airflow3
- Use AI tools — including Copilot and Claude — as active partners in your work
Minimum Experience
- Honours degree in an analytics/engineering or STEM or related field, PLUS at least 5yrs relevant experience OR
- Bachelor's degree in an analytics or STEM or related field, PLUS at least 8yrs relevant experience OR
- Equivalent experience of 8 yrs relevant experience and/or relevant certifications.
- At least 5 years' experience in analytics engineering or a related role
- Proven track record of delivering scalable data solutions and leading projects
- Experience with high-volume data environments
- Experience with CI/CD, testing frameworks and orchestration tools e.g., Airflow
- Experience productionising reports using engineering principles
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.