Analytics Engineer II: Data Models, Pipelines & Insights

Techrepo.co.za; Stellenbosch; On-site; ZAR 900,000 - 1,200,000; Full time

Job summary

Techrepo.co.za is seeking a technically versatile Analytics Engineer to bridge data engineering and data analytics, transforming complex data into reliable, scalable models and insights. You will collaborate with architects and modellers to design enterprise data strategies and deliver efficient data assets and pipelines that empower stakeholders.

You will work with modernised environments, maintain data quality, productionise reports, and apply CI/CD practices, with a focus on high-volume data

Qualifications

• Honours or Bachelor's degree in analytics/engineering or STEM with 5+ or 8+ years of relevant experience
• Experience delivering scalable data solutions and leading projects
• Experience with high-volume data environments and data governance practices
• Proficiency with CI/CD, testing frameworks and orchestration tools (Airflow/Prefect)

Responsibilities

• Build scalable data models, marts and semantic layers
• Design reproducible transformations and pipelines across environments
• Collaborate with Data Architects and Data Modellers on enterprise data strategy
• Maintain data quality and governance during migration
• Productionise reports using engineering best practices
• Work with CI/CD pipelines and orchestration tools like Airflow
• Leverage AI tools as productive partners in data work
• Deliver insights with speed, consistency and minimal friction

Skills

Analytics engineering

Data modelling

Data governance

High-volume data

Education

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

Bachelor's Degree in Analytical/Data/Technical or Related Field

Equivalent experience/certifications

Tools

Airflow

CI/CD

Prefect

AI tooling (Copilot, Claude)

Job description

Techrepo.co.za is seeking a technically versatile Analytics Engineer to bridge data engineering and data analytics, transforming complex data into reliable, scalable models and insights. You will collaborate with architects and modellers to design enterprise data strategies and deliver efficient data assets and pipelines that empower stakeholders.

You will work with modernised environments, maintain data quality, productionise reports, and apply CI/CD practices, with a focus on high-volume data