Data Engineers - Western Cape (12-month contract)

DeARX; Wes-Kaap; On-site; ZAR 600,000 - 900,000; Full time

Job summary

DeARX is seeking skilled Data Engineers based in the Western Cape to join exciting financial services projects. Build scalable data solutions, pipelines and data platforms using modern cloud technologies.

You will work with large datasets, implement ETL/ELT processes, and collaborate with cross-functional teams to deliver high-performing data solutions in a fast-paced environment.

Qualifications

• Strong Python programming skills.
• Advanced SQL.
• Data Engineering and Data Pipeline development experience.
• ETL/ELT processes expertise.
• Experience with AWS, Azure or GCP.
• Apache Spark / PySpark experience.
• Data Warehousing knowledge.

Responsibilities

• Build and optimise data pipelines for large datasets.
• Develop scalable cloud-based data platforms.
• Collaborate with cross-functional teams to deliver reliable data solutions.
• Contribute to robust data architectures and governance.

Skills

Python

SQL

Data engineering

Data pipeline development

ETL/ELT processes

Cloud platforms

Apache Spark

Data warehousing

Tools

Kafka

Apache Airflow

Databricks

Snowflake

Amazon Redshift

BigQuery

AWS Glue

Docker

Kubernetes

Job description

DeARX Services is looking for skilled Data Engineers based in the Western Cape for exciting opportunities within the financial services sector.

If you're passionate about building scalable data solutions, developing robust data pipelines and working with modern cloud technologies, we'd love to hear from you!

Key Requirements

• Strong Python programming skills
• Advanced SQL
• Data Engineering and Data Pipeline development
• ETL/ELT processes
• Experience with AWS, Azure or GCP
• Apache Spark / PySpark
• Data Warehousing

Advantageous Experience

• Kafka and real-time data streaming
• Apache Airflow
• Databricks
• Snowflake, Amazon Redshift or BigQuery
• AWS Glue and Data Lakes
• Docker and Kubernetes

Industry Experience

Experience working with financial services, banking, fintech or high-volume transaction data will be highly advantageous.

Experience in retail or e-commerce data environments is also a plus.

What We're Looking For

Data Engineers who can build and optimise data pipelines, work with large datasets, implement scalable cloud-based solutions and contribute to reliable, high-performing data platforms.