Data Engineer

At Nedbank, the Data Engineering team is dedicated to creating and managing data pipelines that convert heterogeneous raw data into actionable insights. This role involves engineering robust, scalable, and fault-tolerant data solutions that support advanced analytics and machine learning initiatives. You will be responsible for ensuring that data flows smoothly and is readily available for analysis and decision-making.

In your day-to-day work, you will develop and maintain data pipelines that are essential for real-time data processing. Your responsibilities will include:

• Designing and implementing data architecture that meets the needs of the organization
• Building scalable data pipelines that can handle large volumes of data
• Ensuring data quality and governance throughout the data lifecycle
• Collaborating with data scientists and analysts to understand their data needs

This role is well-suited for individuals who have a strong background in data engineering and a passion for working with data. You should be comfortable with various data technologies and have a keen eye for detail. If you enjoy problem-solving and are looking to make an impact in a dynamic environment, this position could be a great fit for you.