WHO WE ARE

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 personal experience. By helping our clients manage their financial lives better, we enable them to live better.

WHAT WE ARE LOOKING FOR

We’re looking for someone who is naturally curious, proactive, and solution-driven. You enjoy digging into complex problems, asking the right questions, and building data solutions that make an impact.

To succeed in this role, you should have:

• 3–5 years of experience in a Data Engineering role, with a proven track record of delivering reliable, scalable data solutions.
• Strong proficiency in SQL, with the ability to write complex queries and work with large datasets.
• Experience working in cloud environments, particularly with AWS and Snowflake.
• Experience with Python is beneficial, but not mandatory for the role.
• Excellent problem-solving skills and the ability to work independently with minimal supervision.
• A solid understanding of data engineering best practices, pipelines, and the data development lifecycle.
• A genuine sense of curiosity and an eagerness to ask “why” and “how” to get to the root of challenges.
• While prior experience in the insurance industry is not a requirement, it is highly advantageous.

If you are interested in being part of this dynamic team, on a mission to build the best bank in the world through unlocking the potential of its people, please apply. We would love to hear from you!
Capitec is committed to diversity and, where feasible, all appointments will support the achievement of our employment equity goals.
»

ABOUT THE ROLE/TEAM

Join a purpose-driven data team that plays a crucial role in supporting Capitec’s growing insurance business - and beyond. Our team supports key areas such as financial sub-ledgers, reconciliations, and reporting, while also working across retail banking and business banking.
We’re looking for a Data Engineer who’s passionate about clean, efficient data solutions. Your main focus will be on supporting financial sub-ledgers, cloud migration projects, and implementing new requirements driven by the insurance business.
This is a high-impact role where your work will directly influence financial accuracy, decision-making, and regulatory compliance within one of South Africa’s most trusted banks.

WHAT YOU’LL BE DOING

• Supporting and optimising financial sub-ledger data pipelines.
• Supporting financial reconciliations and financial data quality efforts.
• Migrating data processes and platforms to the cloud (AWS & Snowflake).
• Interpreting and implementing new business and regulatory requirements.
• Collaborating with SDMs, finance teams, and business stakeholders.
• Driving data improvements that support better decision-making.

To succeed in this role, you should have:

• 3–5 years of experience in a Data Engineering role, with a proven track record of delivering reliable, scalable data solutions.
• Strong proficiency in SQL, with the ability to write complex queries and work with large datasets.
• Experience working in cloud environments, particularly with AWS and Snowflake.
• Experience with Python is beneficial, but not mandatory for the role.
• Excellent problem-solving skills and the ability to work independently with minimal supervision.
• A solid understanding of data engineering best practices, pipelines, and the data development lifecycle.
• A genuine sense of curiosity and an eagerness to ask “why” and “how” to get to the root of challenges.
• While prior experience in the insurance industry is not a requirement, it is highly advantageous