Senior Full Stack & Data Analytics Engineer

ATS Client; Pretoria; On-site; ZAR 1,200,000 - 1,900,000; Full time

Job summary

ATS Client in Pretoria, South Africa, is seeking an Expert Full Stack Developer to join its IT hub. You will build and operate analytics platforms, delivering data-driven insights through low-code, no-code, and traditional high-code solutions.

Responsibilities include developing data pipelines (ETL, SQL, PySpark), APIs, frontend work with Angular/React, and integrating BI tools like Tableau, PowerBI, and Qlik.

Qualifications

• 8+ years in software development.
• 5+ years in Python development (advanced concepts including decorators, dependency injection, etc.).
• 5+ years in AWS services (APIGateway, Lambda, DynamoDB, Fargate, EMR, Glue, Athena, IAM).
• Experience in Data Intelligence / Business Intelligence.
• Building Big Data pipelines (ETL, SQL) and CI/CD pipelines using CodeBuild and GitHub Actions.
• API and ETL development expertise.

Responsibilities

• Develop and manage projects/processes on analytics platforms.
• Build Data Pipelines (ETL, SQL, PySpark) and APIs.
• Frontend development using Angular, React, Figma, and other tools.
• Support system implementation, testing, audits, and quality assurance.
• Propose system designs, review alternatives, and present solutions to management.
• Prepare system and technical documentation following ISO standards.
• Ensure security compliance and assist with network setup in cloud environments (AWS).
• Collaborate with cross-functional teams using Agile methodologies.

Skills

Python development

AWS services

Data Intelligence

APIs & ETL

Frontend development

CI/CD pipelines

Security concepts

Education

Relevant IT/Engineering Degree

AWS Certified Developer Associate

AWS Solutions Architect

Tools

Angular

React

Figma

Tableau

PowerBI

Qlik

Terraform

GitHub Actions

Job description

ATS Client in Pretoria, South Africa, is seeking an Expert Full Stack Developer to join its IT hub. You will build and operate analytics platforms, delivering data-driven insights through low-code, no-code, and traditional high-code solutions.

Responsibilities include developing data pipelines (ETL, SQL, PySpark), APIs, frontend work with Angular/React, and integrating BI tools like Tableau, PowerBI, and Qlik.