Data Engineer

Overview

Support colleagues in building data solutions that drive value for customers, including building, maintaining, testing and optimising a scalable data architecture.

What you'll do

• Build, maintain, test and optimise a scalable data architecture.
• Carry out data extractions and transform data to make it usable for data analysts and scientists.
• Load data into data platforms.
• Develop comprehensive knowledge of the bank's data structures and metrics, advocating change where needed for product development.
• Practice DevOps adoption in the delivery of data engineering, proactively performing root cause analysis and resolving issues.
• Collaborate closely with core technology and architecture teams to build data knowledge and data solutions.
• Develop a clear understanding of data platform cost levers to build cost effective and strategic solutions.
• Source new data using the most appropriate tooling and integrate it into the overall solution.

What you'll need

• Good understanding of data usage and dependencies with wider teams and the end customer.
• Experience of extracting value and features from large scale data.
• Experience of ETL technical design, including data quality testing, cleansing and monitoring.
• Data warehousing and data modelling capabilities.
• Experience of using programming languages alongside knowledge of data and software engineering fundamentals.
• Good knowledge of modern code development practices.
• Good communication skills with the ability to proactively engage with a wide range of stakeholders.

Details

• Hours: 45 per week.
• Job posting closing date: 13/10/2026.