As a Senior Data Engineer, you'll play a crucial role in shaping the data infrastructure for a leading banking client. Your expertise will help build scalable data solutions that drive decision-making across the organization.
In this role, you will be responsible for designing and building robust data platforms that support the banking client's operations. Your work will involve creating scalable data pipelines and ensuring that the data infrastructure is reliable and efficient. You'll collaborate closely with Data Architects to contribute to the overall solution design, making your input vital to the project's success.
Your day-to-day tasks will include developing high-performance data solutions primarily using Python and SQL, with a focus on Redshift. You will also be tasked with maintaining cloud-based data infrastructure, preferably on AWS, which is essential for the scalability and performance of the data ecosystem.
This position is ideal for someone with a strong background in data engineering who enjoys solving complex problems and optimizing data processes. You should have at least five years of experience in the field, with a proven track record of building and enhancing data pipelines. A passion for data-driven decision-making and a collaborative approach will help you thrive in this role.
Overall, this is a fantastic opportunity to make a significant impact in a dynamic banking environment, where your expertise will help shape the future of data solutions.
You'll be taken to the original listing on PNet to apply.