Analytics Engineer II: Data Pipelines & Insights

Capitec Bank Ltd.; Stellenbosch; On-site; ZAR 900,000 - 1,200,000; Full time

Job summary

Capitec Bank Ltd. in Stellenbosch seeks an Analytics Engineer II to bridge data engineering and analytics, shaping raw data into clean, reliable assets and scalable pipelines. You will partner with Data Architects and Data Modellers to design enterprise-aligned models and deliver fast, trustworthy insights.

Responsible for building data models, data marts and semantic layers, applying CI/CD, testing, and governance to production data solutions within a dynamic analytics team.

Qualifications

• Bachelor's degree in analytical/data/technical field.
• 5–8 years’ experience in analytics engineering or related data role.
• Knowledge of CI/CD, testing and data governance.

Responsibilities

• Transform complex data into accessible, reliable and performant data models and insights that drive organisational decision-making.
• Collaborate with stakeholders to understand analytical needs — partnering with Data Architects and Data Modellers to design scalable data models aligned with enterprise strategy.
• Design and build efficient, reproducible data assets — including data models, data marts and semantic layers — along with scalable transformations and pipelines that empower Analytics Engineers and Data Analysts to deliver insights and reports with speed, consistency and minimal friction.
• Apply CI/CD practices, testing frameworks and orchestration tools (e.g., Airflow) to productionise and maintain robust data solutions.
• Embed data governance and quality assurance into every solution from the ground up.

Skills

Data modeling

Data governance

CI/CD

Data pipelines

Education

Bachelor's Degree in Analytical/Data/Technical or Other

Tools

Airflow

Prefect

Job description

Capitec Bank Ltd. in Stellenbosch seeks an Analytics Engineer II to bridge data engineering and analytics, shaping raw data into clean, reliable assets and scalable pipelines. You will partner with Data Architects and Data Modellers to design enterprise-aligned models and deliver fast, trustworthy insights.

Responsible for building data models, data marts and semantic layers, applying CI/CD, testing, and governance to production data solutions within a dynamic analytics team.