Specialist Data Engineer Jobs in South Africa

A full-time Specialist Data Engineer role is open in Johannesburg with Absa Bank Limited. The position sits inside the bank’s data and analytics work, where reliable data pipelines and well-organised data sets help teams turn information into useful decisions.

About the company and the work

Absa is a large African banking group with a long history and a strong regional presence. This role supports analytics and data science teams by building the tools and data flows they rely on every day. The work is hands-on and technical, with a focus on quality, testing and clear documentation.

Role details and duties

The successful candidate will work as part of a squad, or across more than one squad, to produce, test, document and review data solutions. Day-to-day work includes:

• Understanding the wider technical landscape and how bank-wide architecture connects to the data work.
• Interpreting data architecture direction and business requirements into practical data solutions.
• Designing data retrieval, storage and distribution solutions, including their individual components.
• Building high-quality data processing designs using a test-driven and documented approach.
• Assembling large and complex data sets that meet business requirements and managing the data pipeline.
• Creating tools that help analytics and data science teams build and optimise their data pipelines.
• Building and supporting CI/CD pipelines, automating routine tasks, and debugging existing code.
• Monitoring the performance of data solutions and improving them on an ongoing basis.

The role also involves coaching and mentoring other engineers, taking part in peer reviews, and helping to build data capability across the wider data science team.

Requirements

Only the requirements stated in the source listing are listed here:

• A Bachelor’s Degree in Information Technology.
• Experience or exposure that is an added advantage includes tools and technologies such as Danodo, Spark/PySpark, Kafka, Hadoop, cloud, APIs and CI/CD.

The listing also describes work across relational and No-SQL databases, integration and streaming platforms, and data processing, retrieval, storage and distribution technologies.

Where to find and apply safely

Apply only through the original Indeed listing, using the Apply button on this page. That button leads to the original job post. Do not pay anyone for this role, and do not share banking details or passwords as part of an application. A genuine employer will not ask for a payment to process a job application.

Practical tips

Before applying, update your CV so it clearly shows your data engineering experience, the tools you have used, and examples of pipelines or data sets you have worked on. Keep the layout simple, check your contact details, and be ready to describe one project where you improved data quality, speed or reliability.

How the process works

Use the Apply button on this page to open the original listing. From there, follow the employer’s own application steps and submit the information it asks for. This site only shares the opportunity; it does not receive or decide applications.

Important information

This page is informational only. Salary information was not provided in the source listing, so no salary is stated here. Details may change on the original listing, so always check the original post before applying.

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