Data Engineer

Believe Resourcing; Durban, Cape Town, Pretoria; Remote; ZAR 540,000 - 780,000; Full time

Job summary

A leading technology company seeks a skilled Data Engineer to build and optimize cloud data infrastructure, focusing on AWS solutions. This role promises career development, a remote-first working environment, and an opportunity to work with cutting-edge data technologies.

Benefits

Work alongside & learn from best-in-class talent

Excellent career development opportunities

Great work environment with a remote-first culture

Qualifications

• 4+ years’ experience in cloud-based data warehousing (AWS preferred).
• Advanced proficiency in SQL and Python.
• Hands-on expertise with Redshift, Airflow, QuickSight.

Responsibilities

• Design and maintain a cloud-native data warehouse on AWS.
• Implement scalable data models in Amazon Redshift.
• Build and manage ETL/ELT workflows using Apache Airflow.

Skills

SQL

Python

Data Modelling

ETL/ELT Workflows

Data Visualisation

Tools

Amazon Redshift

Apache Airflow

Amazon QuickSight

DynamoDB

S3

EventBridge

Job description

Job Title: Data EngineerLocation: Remote (Kenya, South Africa, Philippines)Type: Full-Time, PermanentSalary: Market-Related

About our Client

Our client is a high-growth global technology company focused on delivering scalable solutions through innovation and digital excellence. With a strong commitment to remote collaboration and engineering excellence, they operate across multiple geographies, fostering a high-performance culture driven by data and cloud-native technologies.

About the Role

We are looking for an experienced Data Warehouse Engineer to architect and optimise cloud-based analytics infrastructure. This role is ideal for someone with deep expertise in AWS, a passion for building robust data platforms, and a strong understanding of data modelling, ETL/ELT workflows, and data visualisation tools.

What they offer:

• Work alongside & learn from best-in-class talent

• Excellent career development opportunities

• Great work environment with a remote-first culture

Responsibilities:

• Design and maintain a cloud-native data warehouse on AWS

• Implement scalable data models in Amazon Redshift

• Build and manage ETL/ELT workflows using Apache Airflow

• Develop clear, actionable dashboards using Amazon QuickSight

• Integrate with DynamoDB, EventBridge, and S3 to enable real-time and batch data flows

• Collaborate with cross-functional teams to understand data requirements

• Monitor data platform performance and costs, ensuring ongoing optimisation

• Maintain high standards for data quality, security, and reliability

Requirements:

• 4+ years’ experience in cloud-based data warehousing (AWS preferred)

• Advanced proficiency in SQL and Python

• Hands-on expertise with Amazon Redshift, Airflow, QuickSight, DynamoDB, S3, and EventBridge

• Strong grasp of data modelling, warehousing principles, and performance tuning

• Familiarity with CI/CD pipelines and infrastructure as code

• Highly proactive with excellent attention to data integrity, resilience, and cost-efficiency

• Strong communication skills and collaborative mindset

Apply now to join a cutting-edge remote engineering team building the future of cloud data infrastructure.