Analytics Engineer I

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 for the rightjobs.We love 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 we are proudofand 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 tocontroltheir financial lives through banking that is simplified, accessible, affordable, and delivered through apersonalexperience. 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 Clientfirst,act with Energy and take Ownership. And to support people in being their best, our EmployeeValueProposition offers every value to all team members through cohesive teams, growth opportunities as wellasemployee benefits and savings. We make it a priority to ensure that each member of the Capitec teamfeelswelcome, 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

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.
Familiaritly with reporting tools like PowerBI

Qualifications (Minimum)

Qualifications (Ideal or Preferred)

Knowledge

Min:

Basic understanding of:
Data modeling concepts (e.g., star/snowflake schemas).
ETL/ELT processes.
Data warehousing (e.g., BigQuery, Snowflake, Redshift).
Familiarity with version control (e.g., Git).

Skills

Conditions of Employment