Data Engineer Talent Community at Capitec
Capitec
Overview
Capitec is building a Data Engineer Talent Community and wants to connect with data engineers across all experience levels. This is not a single vacancy. It is your chance to join a pipeline for future roles where you will build cloud native data solutions, pipelines and platforms that power banking decisions for millions of clients.
About the role
Capitec is putting together a Data Engineer Talent Community to connect with talented data engineers early, before specific roles open up. This is not a single vacancy but an opportunity to be considered for future Data Engineer positions across different levels when they become available.
As a Data Engineer at Capitec, you would help build, test, and maintain the pipelines and data systems that turn complex banking data into reliable, accessible insights. You would work with cloud native platforms, data lakes, data warehouses, batch and real time processing, data quality, governance, and modern engineering practices. The work directly supports analytics, reporting, product decisions, risk management, and client experience across a large retail banking environment.
Depending on your experience level, you could be designing and building ETL and ELT pipelines, working with AWS services like Redshift, using tools like Python, SQL, Git, CI/CD, and Terraform, or contributing to platform design, engineering standards, technical mentorship, and AI enabled data engineering practices.
To apply, visit Capitec's official careers site. You will need to complete your application on the bank's own system. Make sure your profile highlights your SQL, Python, cloud platform, and data pipeline experience clearly.
Requirements
- Bachelor's Degree in Information Technology (minimum requirement)
- Honours Degree in Information Technology, Computer Science or related field is ideal or preferred
- Expert level SQL knowledge with query optimisation, tuning and indexing strategies
- Experience with Python, SQL, Java, Apache Spark or Hadoop
- Experience with cloud platforms such as AWS, Azure or Google Cloud and their data services
- Experience designing and implementing batch and streaming data architectures
- Experience with data lake, data warehouse or similar data patterns
- Experience with ETL/ELT pipelines and data infrastructure
- Experience with Git, CI/CD, Terraform or Infrastructure as Code practices
- Experience with data modelling, data quality, data governance and workflow orchestration
- Experience with Agile delivery practices
- Proven track record of leading large scale data engineering projects
- Experience with machine learning algorithms and predictive analytics
- Experience leading and mentoring less experienced engineers
- Strong analytical, communication, problem solving and interpersonal skills
- Computer literacy in MS Word, MS Excel and MS Outlook
- Clear criminal and credit record
Responsibilities
- Design, build, test and maintain ETL and ELT pipelines that support analytics, reporting, product, risk and client experience decisions
- Work with cloud native data platforms including AWS focused environments, Redshift and other cloud data warehouses and data lakes
- Use Python, SQL, Git, CI/CD and Terraform to build reliable, scalable and production grade data solutions
- Collaborate with Data Architects, Solutions Architects, Analysts, Product teams and technical stakeholders to translate business needs into practical data solutions
- Improve data quality, monitoring, governance, performance, reliability and scalability across the data ecosystem
- Contribute to enterprise wide real time and batch data integration architectures
- Design and implement data lake, data warehouse or other enterprise data patterns
- Implement data governance frameworks with automated quality and monitoring
- Optimise performance across heterogeneous systems
- Design multi environment GitOps strategies including feature flags and advanced techniques
- Design and implement containerised data solutions and infrastructure using Infrastructure as Code
- Configure enterprise workflow orchestration tools and pipelines
- Grow from foundational engineering delivery into independent pipeline ownership, solution design, technical leadership, mentorship and platform level impact
Job details
- Organisation
- Capitec
- Job type
- Full time
- Experience level
- Mid
- Education
- Bachelor
- Category
- IT & Software Development
- Posted
- 10 October 2026 (4 weeks ago)
- Application Method
- Apply online
Success Guide
Hi there. This one is different from a normal job advert. Capitec is building a talent community, not filling a single post right now. So when you apply, you are putting yourself on their radar for future Data Engineer roles across different levels.
That is actually good news. It means they are interested in people at various stages, from those building foundational skills to experienced engineers leading complex projects. Be honest about your level in your CV and cover letter. Highlight your SQL, Python, cloud platform, and any pipeline work you have done. Even academic projects or personal data projects count if you are starting out.
Make sure your application shows your problem solving skills and your ability to work with data. They also want to see that you are keen to learn and grow. Capitec values a clear criminal and credit record, so keep that in mind.
You will apply on their official careers site, so create a proper profile and upload a clean, focused CV. Good luck!
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