Capitec Bank Ltd is building an ongoing talent pipeline for Analytics Engineer positions based in South Africa. This recruitment initiative invites experienced data professionals to join a team responsible for transforming raw data into structured, business-ready datasets that support decision-making across the organisation. Candidates with at least 5 years of experience in analytics engineering, strong data modelling skills, and proficiency in SQL and Python are encouraged to apply for current or future opportunities.

The Analytics Engineer role exists to ensure that data models, pipelines, and semantic layers are built to perform at scale while maintaining quality and reliability. This position is critical for teams that depend on accurate, trustworthy data every day. By applying, candidates will be considered as relevant roles become available within Capitec's Analytics Engineering team.

Overview of the Analytics Engineer Role

This role focuses on designing, building, and maintaining production-ready data models that convert complex raw data into usable formats. Analytics Engineers work at the critical point where data becomes accessible and actionable for reporting, analysis, and business insights. The position requires technical expertise in data transformation, validation, testing, and optimisation, as well as the ability to influence design decisions and mentor less experienced team members.

The work directly impacts how quickly business questions can be answered and how confidently decisions can be made across multiple teams. Collaboration with engineering, analytics, and architecture colleagues is central to success in this role.

Key Responsibilities

Analytics Engineers at Capitec Bank Ltd will be expected to perform the following duties:

• Design, build, and maintain production-ready data models that transform raw data into usable datasets
• Develop scalable data transformations with strong validation, testing, and quality controls
• Create and optimise semantic layers and aggregation logic that support reporting and analysis
• Maintain and troubleshoot live data models, resolving incidents and improving performance
• Lead and influence design decisions, balancing quality, speed, and long-term sustainability
• Support and guide less experienced engineers through reviews, documentation, and practical coaching

Eligibility Criteria and Requirements

Applicants must meet the following minimum qualifications and experience standards:

Minimum Qualifications

• Bachelor's Degree in Analytical, Data, Technical, or Other related field

Preferred Qualifications

• Honours Degree in Analytical, Data, Technical, Engineering, or Other related field

Experience Requirements

• At least 5 years' experience in analytics engineering or a closely related data role
• Proven experience delivering and supporting production data models and pipelines
• Strong data modelling capability and confidence designing business-ready datasets
• Advanced SQL skills and experience using Python for data transformation or automation
• Experience building, testing, and deploying data transformations using structured release practices
• Experience working on cloud data platforms and workflow orchestration tools such as Airflow or Prefect
• A solid understanding of data quality, governance, and documentation
• Experience influencing technical decisions and working closely with stakeholders

Technical Knowledge

Candidates should demonstrate advanced understanding of:

• Data modelling best practices
• Data governance and quality assurance
• Cloud data platforms and orchestration tools, including Airflow and Prefect
• Software engineering principles such as CI/CD and testing

Core Skills

• Analytical skills
• Communication skills
• Planning, organising, and coordination skills
• Problem solving skills
• Reporting skills

Conditions of Employment

Successful candidates must have a clear criminal and credit record.

The Team and Work Environment

The Analytics Engineering team works at the intersection where data becomes usable for business purposes. The team's focus is on structuring, modelling, and supporting data that feeds reporting and insights across multiple departments. Regular collaboration with engineering, analytics, and architecture teams is expected, and the work environment emphasises shared ownership of data quality and delivery.

This is an onsite, full-time position where engineers contribute directly to how confidently and quickly business decisions are made organisation-wide.

Important Information for Applicants

This recruitment notice represents an ongoing talent pipeline rather than a single vacancy. Candidates who apply will be expressing interest in joining Capitec Bank's Analytics Engineering team and will be considered for current or future opportunities as they become available. The organisation will contact shortlisted candidates when relevant roles open up. Applicants are encouraged to remain engaged and stay connected for upcoming possibilities within the team.

About Capitec Bank Ltd

Capitec Bank Ltd is a leading South African retail bank known for its simplified, affordable, and accessible banking products. The bank focuses on delivering transparent financial services to individual clients through innovative technology and customer-centric solutions. Capitec operates a wide network of branches across South Africa and has built a reputation for challenging traditional banking models with straightforward products and competitive pricing. The organisation invests significantly in technology, data infrastructure, and digital transformation to support its growing client base and maintain high service standards.

How to Apply

Interested candidates should submit their application through the official Capitec Bank careers portal. Ensure that your application clearly demonstrates your experience in analytics engineering, data modelling, SQL, Python, and cloud data platforms. Include evidence of your ability to design and maintain production-ready data models and your experience working with orchestration tools such as Airflow or Prefect.

CLICK HERE TO APPLY