Product Data Engineer at Capitec Bank

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. 

Your Day-to-Day Might Include

• Designing, building, and maintaining robust and scalable data pipelines. 
• Writing complex SQL queries for data extraction, transformation, and analysis. 
• Monitoring and troubleshooting data workflows and processes. 
• Ensuring data accuracy, consistency, and quality across systems. 
• Contributing to data architecture and documentation standards. 
• Participating in code reviews, agile ceremonies, and team planning. 
• Working with large datasets in structured and unstructured formats. 
• Automating repetitive data tasks and optimising performance.

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.