Capitec Bank Ltd is Currently Opening Job Vacancies as Product Data Engineer - Apply Now
Location: Stellenbosch, Western Cape, ZA
Company: Capitec Bank Ltd
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 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.
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.
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.
About The Role/Team
- 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.
- 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.
- 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
- Migrating data processes and platforms to the cloud (AWS & Snowflake).
- Driving data improvements that support better decision-making.
- Supporting financial reconciliations and financial data quality efforts.
- Interpreting and implementing new business and regulatory requirements.
- Collaborating with SDMs, finance teams, and business stakeholders.
- Supporting and optimising financial sub-ledger data pipelines.
Your Day-to-Day Might Include
- Participating in code reviews, agile ceremonies, and team planning.
- Automating repetitive data tasks and optimising performance.
- Writing complex SQL queries for data extraction, transformation, and analysis.
- Ensuring data accuracy, consistency, and quality across systems.
- Contributing to data architecture and documentation standards.
- Monitoring and troubleshooting data workflows and processes.
- Working with large datasets in structured and unstructured formats.
- Designing, building, and maintaining robust and scalable data pipelines.
A career opportunity:
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About You:
Qualifications, Skills and Experience:
- 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:
- Experience with Python is beneficial, but not mandatory for the role.
- While prior experience in the insurance industry is not a requirement, it is highly advantageous
- Strong proficiency in SQL, with the ability to write complex queries and work with large datasets.
- A solid understanding of data engineering best practices, pipelines, and the data development lifecycle.
- Experience working in cloud environments, particularly with AWS and Snowflake.
- Excellent problem-solving skills and the ability to work independently with minimal supervision.
- A genuine sense of curiosity and an eagerness to ask “why” and “how” to get to the root of challenges.
- 3–5 years of experience in a Data Engineering role, with a proven track record of delivering reliable, scalable data solutions.
Important
Don't miss this opportunity to start your career at Product Data Engineer!
Interested and qualified candidates can apply through the following application link.