Analytics Engineer II

Join Us in Becoming the Best Bank in the World!!

We appoint energized and motivated people for their potential and continuously look for talented,driven individuals to help us innovate and evolve. That is why we focus on finding the right people forthe right jobs.We love what we do because we focus on making a positive difference for our clients and employees.Our company DNA is built around talented and committed teams dedicated to build a brand that weare proud of and earns the trust of our clients.

Who We Are

We are a bank, but we’re much more than that. We believe that banking is about enabling people tocontroltheirfinancial lives through banking that is simplified, accessible, affordable, and delivered throughapersonalexperience. By helping our clients manage their financial lives better, we enable them to live better.

Why choose Us

At Capitec, we offer our best by living up to our CEO values in every situation – we always put the Client first,act with Energy and take Ownership. And to support people in being their best, our Employee Value Proposition offers every value to all team members through cohesive teams, growth opportunities as well as employee benefits and savings. We make it a priority to ensure that each member of the Capitec team feels welcome, valued, focused, and has the opportunity to grow.

Purpose Statement

• 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 organizational decision-making.
• To collaborate with stakeholders to understand analytical needs, partnering with Data Architects and
• Data Modelers to design scalable data models aligned with enterprise strategy.
• Design and build efficient, reproducible data assets (including data models and marts, semantic layer, working environments etc), along with scalable transformations and pipelines that empower both Analytical Engineers and Data Analysts to deliver insights and reports with speed, consistency, and minimal friction.
       

Experience

• Length of experience required is conditional on the qualifications obtained but must include
• Experience in analytics engineering or related roles.
• Proven track record of delivering scalable data solutions and leading projects.
• Experience with CI/CD, testing frameworks, and orchestration tools (e.g., Airflow).
• Experience with productionising reports using engineering principals.

Qualifications (Minimum)

Qualifications (Ideal or Preferred)

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

Conditions of Employment