As a Data Engineer at Nedbank, you'll play a crucial role in enhancing the bank's data infrastructure. Your work will support advanced analytics and machine learning initiatives by ensuring clean and usable data is available to stakeholders.
Nedbank is looking for a Data Engineer to enhance its data infrastructure and support its transition to a data-driven organization. In this role, you'll leverage your expertise in data technologies to create and maintain data pipelines, ensuring that stakeholders have access to clean and usable data. You'll work closely with various teams, including Data Analysts and Software Engineers, to deliver data solutions that align with the bank's strategic goals.
Your responsibilities will include building and managing scalable data infrastructure, automating data pipelines, and ensuring data quality and governance. You'll be involved in data modeling and schema design, collaborating with Data Modellers to create effective data structures. Additionally, you'll be responsible for optimizing the performance of the data warehouse and ensuring that data is securely managed.
This role is ideal for someone with a solid background in data engineering, particularly with experience in big data technologies like Hadoop and cloud platforms such as Azure or AWS. You should be comfortable working independently and have a strong analytical mindset. Key requirements include proficiency in programming languages like Python and SQL, as well as experience with data warehousing and ETL tools.
If you're passionate about data and eager to contribute to a forward-thinking team, this position at Nedbank could be a great fit for you. You'll have the opportunity to make a significant impact on the bank's data initiatives while working in a collaborative and innovative environment.
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