Data Engineer

Network Finance; Wes-Kaap; Hybrid; ZAR 600,000 - 900,000; Full time

Job summary

Network Finance is seeking a Data Engineer to join a growing data team in the Western Cape. This hybrid role focuses on designing, developing, and optimizing data solutions using modern cloud technologies.

You will work with experienced professionals, embracing AI-powered tooling, and deliver high-quality data products that enable analytics and business insights. The position requires collaboration with stakeholders and a strong technical foundation.

Qualifications

• Completed degree in a relevant field.
• 2 to 5 years' experience in Data Engineering.
• Strong experience with Azure.
• Hands-on Databricks experience.
• Proficiency in Python.
• Advanced SQL skills.
• Experience with Spark.
• Excellent communication and interpersonal skills.
• Demonstrated ability to work effectively within a team environment.

Responsibilities

• Develop, maintain, and optimise scalable data pipelines and workflows.
• Design and implement data solutions using Azure and Databricks technologies.
• Work with large datasets to support analytics and business intelligence initiatives.
• Develop and maintain Python, SQL, and Spark-based solutions.
• Collaborate with cross-functional teams to deliver reliable and efficient data platforms.
• Contribute to best practices, code reviews, and continuous improvement initiatives.

Skills

Python

SQL

Spark

Communication

Teamwork

Education

Completed Degree in a relevant field

Tools

Azure

Databricks

Job description

Our client is seeking a Data Engineer to join their growing data team in the Western Cape. This hybrid opportunity offers the chance to work with modern data engineering technologies while contributing to the design, development, and optimisation of robust data solutions.

You will work alongside highly skilled professionals in an environment that embraces innovation and the practical use of AI-powered tooling. This role is ideal for a data professional with a strong technical foundation who enjoys solving complex problems, collaborating with stakeholders, and delivering high-quality data products that drive business value.

Key Responsibilities:

• Develop, maintain, and optimise scalable data pipelines and workflows.
• Design and implement data solutions using Azure and Databricks technologies.
• Work with large datasets to support analytics and business intelligence initiatives.
• Develop and maintain Python, SQL, and Spark-based solutions.
• Collaborate with cross-functional teams to deliver reliable and efficient data platforms.
• Contribute to best practices, code reviews, and continuous improvement initiatives.

Job Experience and Skills Required:

• Completed Degree in a relevant field.
• 2 to 5 years' experience in a Data Engineering role.
• Strong experience with Azure.
• Hands-on experience with Databricks.
• Proficiency in Python.
• Advanced SQL skills.
• Experience working with Spark.
• Excellent communication and interpersonal skills.
• Demonstrated ability to work effectively within a team environment.

Why Apply?

• Hybrid working model with 3 days per week in the office.
• Opportunity to work with modern cloud and data technologies.
• Exposure to AI-enabled development tools including Claude, Codex, and Databricks Genie.
• Streamlined interview process consisting of an assessment, assessment review, and final interview.