Analytics Engineer II

Capitec Bank Limited; Stellenbosch; Remote; ZAR 900,000 - 1,300,000; Full time

Job summary

Capitec Bank Limited seeks an Analytics Engineer II to bridge data engineering and analytics, transforming raw data into clean, trusted data assets used by analysts and engineers across the organisation. You will shape data models and pipelines that support scalable, rapid decision-making, with a focus on reliability and performance.

The role emphasizes collaboration with Data Architects and Data Modellers to meet enterprise analytics needs, applying CD/CI practices and data governance from the

Qualifications

• Minimum 5–8 years in analytics engineering or similar data role.
• Strong ability to transform complex data into accessible models and insights.
• Knowledge of data governance, cloud data platforms and orchestration tools.

Responsibilities

• Transform complex data into accessible, reliable data models and insights.
• Collaborate with stakeholders to design scalable data models with Data Architects/Modellers.
• Build efficient data assets and pipelines enabling analysts to deliver insights quickly.
• Apply CI/CD practices and testing to productionise data solutions.
• Embed data governance and quality assurance from the ground up.

Skills

Analytics engineering

Data modelling

Data governance

CI/CD practices

Airflow

Education

Bachelor's Degree in Analytical/Data/Technical

Tools

Airflow

Prefect

Job description

The Insights and Media Solutions team drives client data analytics and client optimisation strategies — made up of data and software engineering professionals alongside engagement strategy and operations specialists. Together, the team turns client data into meaningful, actionable intelligence that reaches millions of people. The Analytics Engineer sits at the heart of that — bridging the gap between data engineering and analytics, and building the data foundation that powers client engagement decisions.

Why this role exists

The Analytics Engineer II exists to bridge the gap between Data Engineers and Data Analysts — transforming complex data into accessible, reliable and performant data models and insights that drive decision-making across the organisation.This is not just a modelling role — it's an engineering role with an analytics lens. The team needs someone who can take complex, raw data and shape it into clean, trusted data assets that analysts and engineers can actually use, fast.

What you'll do

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

• At least 5-8 years’ experience in analytics engineering or a closely related data role
• 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

Qualifications (Minimum)

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

Knowledge

• Advanced grasp of:
• Data governance and quality assurance.
• Cloud data platforms and orchestration tools (e.g., Airflow, Prefect).
• Understanding of software engineering principles (e.g., CI/CD, testing).

Capitec Bank is an authorised financial services provider (FSP 46669) and registered credit provider (NCRCP13). Capitec Bank Limited Reg. No: 1980/003695/06