Data Engineer

Communicate Recruitment; Stellenbosch; On-site; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

High visibility role

Cross-functional teams

Job summary

Communicate Recruitment is seeking an Analytics Engineer II to sit at the core of our data organization, bridging data engineering and business analytics in Stellenbosch.

You will transform complex data streams into clean, reliable data assets powering client engagement, CRM, and optimization strategies, with CI/CD and production-grade pipelines. Collaborate with Data Architects and stakeholders to ensure governance and quality.

Qualifications

• 5–8 years of hands-on analytics engineering experience.
• Bachelor's degree in a technical, analytical, or quantitative field.
• Advanced mastery of data modelling and data governance.
• Experience with cloud data platforms and orchestration tools (Airflow, Prefect).
• Strong software engineering fundamentals (CI/CD, version control, automated testing).

Responsibilities

• Model and transform data into scalable models, marts, and semantic layers.
• Collaborate with Data Architects, Data Modellers, and stakeholders to align assets with strategy.
• Engineer for production with CI/CD, automated testing, and orchestration tools to keep pipelines resilient.
• Govern and assure data quality across pipelines and models from day one.

Skills

Data modelling

Data governance

CI/CD & testing

Airflow / orchestration

Stakeholder collaboration

Education

Bachelor's degree (technical/analytical)

Tools

Apache Airflow

Prefect

Job description

Turn raw data into high-impact intelligence! We are looking for an experienced Analytics Engineer II to sit at the core of our data organization, bridging the critical gap between data engineering and business analytics.

Job Title: Analytics Engineer

Location: Stellenbosch, Winelands

About the Role

You will transform complex, raw data streams into clean, reliable, and high-performing data assets that empower analysts and engineers to move fast and make data-driven decisions. This is an engineering role with a sharp analytical lens, you won't just build models; you will design the data foundations that power client engagement, CRM, and optimization strategies.

What You’ll Do

• Model & Transform: Design and build scalable data models, data marts, and semantic layers that deliver high-speed, consistent insights.
• Partner & Collaborate: Work closely with Data Architects, Data Modellers, and business stakeholders to align data assets with enterprise strategy.
• Engineer for Production: Apply CI/CD practices, automated testing frameworks, and orchestration tools (such as Airflow or Prefect) to keep pipelines resilient.
• Govern & Assure: Embed rock-solid data governance and quality assurance into every pipeline and model from day one.

What You Bring

• Experience: 5 to 8 years of hands-on experience in analytics engineering or a closely related data/software discipline.
• Education: Bachelor’s degree in a technical, analytical, or quantitative field.
• Technical Stack:
• Advanced mastery of data modelling best practices and data governance.
• Proficiency with cloud data platforms and orchestration tools (e.g., Apache Airflow, Prefect).
• Strong software engineering fundamentals (CI/CD, version control, and automated testing).

What We Offer

• A high-visibility role turning complex intelligence into real-world impact for millions of users.
• Collaborative, cross-functional engineering and strategy teams.