Analytics Engineer

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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 for the 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 we are proud of and earns the trust of our clients.

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

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.

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:

• Length of experience required is conditional on the qualifications obtained but must include:
• Experience in data analytics or engineering roles.
• Hands‑on experience building data pipelines and dashboards.
• And/or Internships or academic projects involving data pipelines or analytics tools.
• Familiarity with reporting tools like PowerBI

• Bachelor's Degree in Analytical/Data/Technical

• Honours Degree in Analytical/Data/Technical

Basic understanding of:

• Data modeling concepts (e.g., star/snowflake schemas).
• ETL/ELT processes.
• Data warehousing (e.g., Big Query, Snowflake, Redshift).
• Familiarity with version control (e.g., Git).

Capitec Bank is an authorised financial services provider (FSP 46669) and registered credit provider (NCRCP
13). Capitec Bank Limited Reg. No: 1980/003695/06