As a Data Engineer at Nedbank, you'll play a key role in building and optimizing data pipelines that support the bank's data-driven strategy. This position is ideal for someone with a solid background in cloud technologies and data management who enjoys collaborating with cross-functional teams.
At Nedbank, the Data Engineer will be responsible for architecting and optimizing data pipelines that handle vast amounts of data. This role is crucial in transforming raw data into actionable insights that support advanced analytics and machine learning initiatives. You will work closely with various teams to ensure that data solutions align with business needs and contribute to the bank's goal of becoming a data-driven organization.
Your daily tasks will include developing and maintaining scalable data pipelines using technologies like Azure Data Factory and Databricks. You will also implement Data Ops practices to automate workflows and ensure data quality throughout the data lifecycle. Collaboration is key, as you will partner with software engineers to create APIs for real-time data access and work with data governance teams to enforce data security and compliance.
The ideal candidate will have a strong background in cloud platforms, particularly Azure, and experience with programming languages such as Python and PySpark. You should be comfortable working with both structured and unstructured data and have a solid understanding of data quality management. Additionally, experience with CI/CD pipelines and workflow orchestration will be beneficial.
This role is suited for someone who enjoys solving complex data challenges and is eager to mentor junior engineers. If you are tech-savvy, accountable, and a strong communicator, you will thrive in this dynamic environment at Nedbank.
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