Analytics Engineer II

Capitec Bank is a South African commercial bank. As of February 2017 the bank was the third largest in South Africa with 120,000 customer opening new accounts per month. To simplify banking, we’ve developed an all-inclusive banking solution. Global One is the one solution that enables you to transact, save and access credit in realtime. We also believe in harnessing the power of technology to make each interaction easier and simpler. We do everything we can to ensure that our clients have access to transparent and affordable banking services. When you bank with us, there are no hidden costs. We’re committed to making sure that you have a clear understanding of exactly what you're paying for. Why shouldn’t you have access to your cash when and where you want it? Whether you prefer Remote Banking, ATM transacting, drawing cash from tills at your local supermarket or coming into one of our branches, the way you access you cash is entirely up to 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).