Join Nedbank's Data & Analytics team as a Data Engineer and help shape the future of data in the banking sector. You'll build and maintain scalable data solutions that drive strategic decisions across the organization.
Innovative and collaborative, with a strong focus on data-driven decision-making.
As a Data Engineer at Nedbank, you'll play a crucial role in expanding the bank's Data & Analytics capabilities. Your primary responsibility will be to build and maintain enterprise-scale data pipelines that support analytics, machine learning, and AI initiatives. You'll work with modern cloud technologies to deliver scalable data solutions that align with the bank's goal of becoming a fully data-driven organization.
In your day-to-day work, you will enhance Nedbank's data infrastructure, ensuring that data is efficiently ingested, provisioned, and made accessible for business users. This includes developing optimized data integration processes and maintaining the data warehouse layers. You will also be responsible for implementing data quality and governance controls across all data pipelines.
The role is ideal for someone with at least three years of experience in Data Engineering, particularly with a background in Credit Risk Systems. Strong programming skills in Python and SQL are essential, along with familiarity with cloud platforms like Azure or AWS. Experience with CI/CD practices and API development will also be beneficial.
If you are passionate about data and want to work in a supportive environment that values innovation and collaboration, this position at Nedbank could be a great fit for you. Join us in delivering meaningful data solutions that directly influence business outcomes.
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