Analytics Engineer II

Capitec; Stellenbosch; On-site; ZAR 650,000 - 950,000; Full time

Job summary

Capitec in Stellenbosch, South Africa, seeks an Analytics Engineer who bridges data engineering and analytics. You will transform complex data into reliable models and insights, collaborating with Data Architects and Modellers to design scalable data assets, including models, marts, semantic layers and pipelines, supporting the migration from legacy to modern data platforms.

You will ensure data quality and governance during migration, productionise reports, and contribute to building robust

Qualifications

• Honours degree in analytics/engineering or STEM with 5+ years in analytics engineering
• Bachelor’s degree in analytics or STEM with 8+ years in analytics engineering
• Equivalent experience of 8 yrs in analytics engineering and/or relevant certifications
• At least 5 years’ experience in analytics engineering or a related role

Responsibilities

• Build scalable data models, marts and semantic layers
• Design reproducible transformations and pipelines across legacy and modernised environments
• Partner with Data Architects and Data Modellers to align on enterprise data strategy
• Maintain data quality and governance standards throughout the migration
• Productionise reports using engineering principles
• Work with CI/CD pipelines, testing frameworks and orchestration tools like Airflow
• Use AI tools — Copilot and Claude — as active partners in your work

Skills

Data modelling

CI/CD

Airflow

Data governance

Cloud platforms

Education

Honours degree in analytics/engineering or STEM

Bachelor’s degree in analytics or STEM

Tools

Airflow

Prefect

CI/CD tooling

Job description

We're looking for a technically versatile Analytics Engineer to sit at the intersection of data engineering and data analysis — To bridge the gap between Data Engineers and Data Analysts by transforming complex data into accessible, reliable and performant data models and insights that drive decision-making across the organisation. You'll collaborate with stakeholders to understand analytical needs, partner with Data Architects and Data Modellers to design scalable models, and build the efficient, reproducible data assets — including data models and marts, semantic layers and working environments — along with the transformations and pipelines that let analysts deliver insights with speed, consistency and minimal frictionat a time when both worlds are running side by side. The team is migrating to a modernised data platform while keeping the legacy environment live. You'll make sure the data stays clean, reliable and accessible across both — and that no one on either side of the transition feels the friction.

What you\'ll do

• Build scalable data models, marts and semantic layers
• Design reproducible transformations and pipelines across legacy and modernised environments
• Partner with Data Architects and Data Modellers to align on enterprise data strategy
• Maintain data quality and governance standards throughout the migration
• Productionise reports using engineering principles
• Work with CI/CD pipelines, testing frameworks and orchestration tools like Airflow3
• Use AI tools — including Copilot and Claude — as active partners in your work

Minimum Experience

• Honours degree in an analytics/engineering or STEM or related field, PLUS at least 5yrs relevant experience OR
• Bachelor’s degree in an analytics or STEM or related field, PLUS at least 8yrs relevant experience OR
• Equivalent experience of 8 yrs relevant experience and/or relevant certifications.
• At least 5 years’ experience in analytics engineering or a related role
• Proven track record of delivering scalable data solutions and leading projects
• Experience with high-volume data environments
• Experience with CI/CD, testing frameworks and orchestration tools (e.g., Airflow)
• Experience productionising reports using engineering principles

Qualifications (Minimum)

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

Qualifications (Ideal or Preferred)

• Honours Degree in Analytical/Data/Technical or Engineering - Other

Knowledge

• Advanced grasp of:
• Data modelling best practices.
• 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).

Conditions of Employment

• Clear criminal and credit record

Profile description:

We're looking for a technically versatile Analytics Engineer to sit at the intersection of data engineering anddata analysis — To bridge the gap between Data Engineers and Data Analysts by transforming complex datainto accessible, reliable and performant data models and insights that drive decision-making across theorganisation. You'll collaborate with stakeholders to understand analytical needs, partner with Data Architectsand Data Modellers to design scalable models, and build the efficient, reproducible data assets — includingdata models and marts, semantic layers and working environments — along with the transformations andpipelines that let analysts deliver insights with speed, consistency and minimal frictionat a time when bothworlds are running side by side. The team is migrating to a modernised data platform while keeping the legacyenvironment live. You'll make sure the data stays clean, reliable and accessible across both — and that no oneon either side of the transition feels the friction.