Analytics Engineer

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

We appoint energized and motivated people for their potential and continuously look for talented,drivenindividuals to help us innovate and evolve. That is why we focus on finding the right people forthe right jobs.Welove what we do because we focus on making a positive difference for our clients and employees.Ourcompany DNA is built around talented and committed teams dedicated to build a brand that weare proud ofand 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 peopletocontroltheirfinancial lives through banking that is simplified, accessible, affordable, and deliveredthroughapersonalexperience. By helping our clients manage their financial lives better, we enable them to livebetter.

Why choose Us

At Capitec, we offer our best by living up to our CEO values in every situation – we always put the Clientfirst,act with Energy and take Ownership. And to support people in being their best, our Employee ValueProposition offers every value to all team members through cohesive teams, growth opportunities as well asemployee benefits and savings. We make it a priority to ensure that each member of the Capitec team feelswelcome, 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.
       

Minimum Experience

• Experience in analytics engineering or closely related data roles.
• A proven track record of delivering scalable data solutions and contributing to or leading end to end data projects.
• Hands on experience with CI/CD processes, testing frameworks, and orchestration tools such as Airflow(or similar).
• Confidence applying engineering principles to analytical and reporting environment
• Strong understanding of data modelling best practices.
• Knowledge of data governance, quality assurance, and trusted data design.
• Experience working with cloud-based data platforms and orchestration tools (e.g. Airflow, Prefect).
• Solid grounding in software engineering principles, including CI/CD, testing, and version control.
• An Honours degree in Analytics, Engineering, STEM, or a related field plus at least 5 years’ relevantexperience
  OR
• A Bachelor’s degree in Analytics, STEM, or a related field plus at least 8 years’ relevant experience
  
  

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