Junior Analytics Engineer: Data Modeling & Insights

Pargo; Cape Town; Hybrid; ZAR 300,000 - 420,000; Full time

Benefits offered by this job

Competitive remuneration

Medical aid & group life cover

Flexible hours & hybrid setup

Personal growth & development

Office in Gardens, Cape Town

Job summary

Pargo is seeking an Analytics Engineer to own the transformation and modeling layer of our data platform in Cape Town. You will build analytics-ready datasets that power reporting and strategic insight.

You will focus on durable data models with dbt, data quality, and collaboration with Commercial, Operations, and Engineering teams, while maintaining documentation and version control.

Qualifications

• Bachelor's degree in Engineering, Computer Science, Data Science, Information Systems, or a closely related quantitative field.
• Strong foundation in analytical problem-solving and systems thinking is expected.

Responsibilities

• Build, maintain, and optimize analytics-ready data models using dbt.
• Own transformation logic across core datasets, ensuring correctness, performance, and scalability.
• Implement and maintain data quality tests, freshness checks, and validation rules.
• Partner with stakeholders to translate business questions into reusable, scalable data models.
• Maintain clear and accurate documentation for data models, metrics, and business logic.
• Review and manage changes using Git-based version control.
• Support downstream analytics and reporting teams by ensuring data reliability and clarity.
• Continuously improve existing models and pipelines rather than rebuilding unnecessarily.

Skills

SQL

dbt

PostgreSQL

Git

Python

Data modeling

Education

Bachelor's degree in Engineering/CS/Data Science/IS

Tools

dbt

Git

PostgreSQL

Job description

Pargo is seeking an Analytics Engineer to own the transformation and modeling layer of our data platform in Cape Town. You will build analytics-ready datasets that power reporting and strategic insight.

You will focus on durable data models with dbt, data quality, and collaboration with Commercial, Operations, and Engineering teams, while maintaining documentation and version control.