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

We’re looking for an Analytics Engineer who thrives at the intersection of data engineering and analytics. In this role, you’ll help transform complex data into accessible, reliable, and high performing data models that power meaningful business decisions. You’ll collaborate closely with Data Engineers, Data Analysts, Data Architects, Data Modelers, and business stakeholders, translating analytical needs into scalable data assets that are easy to use, reliable, and built for growth.

What you’ll be doing

• Bridge the gap between raw data and actionable insights by designing well structured, trusted data models.
• Partner with stakeholders to understand analytical requirements and turn them into practical, value driven solutions.
• Work alongside Data Architects and Data Modelers to ensure data solutions align with enterprise standards and long term strategy.
• Design and build efficient, reusable data assets, including:
  • Data models and data marts
  • Semantic layers
  • Scalable transformation pipelines
  • Analyst friendly working environments
• Apply software engineering best practices to analytics, including CI/CD, testing, and automation.
• Productionise reports and data products to ensure performance, consistency, and reliability.

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’ relevant experience
  OR
• A Bachelor’s degree in Analytics, STEM, or a related field plus at least 8 years’ relevant experience
  OR
• Equivalent experience, with 8+ years’ relevant experience and/or relevant professional certifications

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