As a Senior Data Engineer, you'll play a key role in shaping the data infrastructure for a major banking client. Your expertise will help build scalable data solutions that support data-driven decisions across the organization.
In this role, you'll be responsible for designing and building robust data platforms that support the needs of a large banking client. Your work will involve creating scalable data pipelines and ensuring the reliability and performance of the data ecosystem. You'll collaborate closely with Data Architects to contribute to solution design and enhance existing data infrastructure.
Your day-to-day tasks will include: • Designing and building scalable data pipelines for both batch and streaming data. • Developing high-performance data solutions primarily using Python and SQL, with a focus on Redshift. • Maintaining and optimizing cloud-based data infrastructure, ideally within AWS.
This position is ideal for someone with a strong background in data engineering and a passion for building efficient data solutions. You should have at least five years of experience in the field and be comfortable working in a fast-paced, innovative environment. Your ability to think critically and solve complex problems will be essential in this role, as you help shape the future of data-driven services for millions of banking clients.
You'll be taken to the original listing on PNet to apply.