As a Data Engineer in the banking sector, you'll transform raw data into structured datasets that drive insights and decision-making. This role is perfect for someone with a strong background in data modelling and engineering who enjoys working collaboratively with data scientists and analysts.
In this role, you'll partner with data scientists and analysts to support various modelling and analytics initiatives within the banking sector. Your main responsibility will be to transform complex, raw data into structured datasets that are ready for analysis and reporting. This position is crucial for enabling data-driven decision-making across the organization.
You will design and implement scalable data models, ensuring they align with the enterprise data architecture and modelling standards. Your work will involve developing and maintaining ETL/ELT processes to ingest, cleanse, and transform data from multiple sources into trusted datasets that can be used for advanced analytics.
The ideal candidate for this role should have a solid understanding of data modelling and engineering principles, along with experience in creating and managing ETL/ELT processes. You should be comfortable collaborating with data scientists and analysts to ensure the data meets their analytical needs. Strong attention to detail and a commitment to data governance are essential for success in this position.
If you enjoy working in a collaborative, data-focused environment and have a passion for transforming data into actionable insights, this role could be a great fit for you.
You'll be taken to the original listing on PNet to apply.