Data Engineer

national westminster bank

📍 edinburgh manchester london united kingdom🕐 2d ago🔗 workday

Job Description

Join us as a Data Engineer * This is an exciting opportunity to use your technical expertise to collaborate with colleagues and build effortless, digital first customer experiences * You’ll be simplifying the bank by developing innovative data driven solutions, using insight to be commercially successful, and keeping our customers’ and the bank’s data safe and secure * Participating actively in the data engineering community, you’ll deliver opportunities to support the bank’s strategic direction while building your network across the bank What you'll do -------------- As a Data Engineer, you’ll play a key role in driving value for our customers by building data solutions. You’ll be carrying out data engineering tasks to build, maintain, test and optimise a scalable data architecture, as well as carrying out data extractions, transforming data to make it usable to data analysts and scientists, and loading data into data platforms. You’ll also be: * Developing comprehensive knowledge of the bank’s data structures and metrics, advocating change where needed for product development * Practicing DevOps adoption in the delivery of data engineering, proactively performing root cause analysis and resolving issues * Collaborating closely with core technology and architecture teams in the bank to build data knowledge and data solutions * Developing a clear understanding of data platform cost levers to build cost effective and strategic solutions * Sourcing new data using the most appropriate tooling and integrating it into the overall solution to deliver for our customers The skills you'll need ---------------------- To be successful in this role, you’ll need a good understanding of data usage and dependencies with wider teams and the end customer, as well as experience of extracting value and features from large scale data. You’ll also demonstrate: * Experience of ETL/ELT technical design, including building pipelines, data quality testing, cleansing and monitoring, data warehousing and data modelling capabilities * The ability to use programming languages like SQL and Python, alongside knowledge of data and software engineering fundamentals such as dimensional modelling, data structures, streaming and distributed processing concepts * Good knowledge of modern code development practices including version control with Git, CI/CD pipelines, infrastructure as code, spec/test-driven development, and agile delivery * Strong communication skills with the ability to proactively engage with a wide range of stakeholder Hours 35 **Job Posting Closing Date:** 28/07/2026 Ways of Working:Hybrid
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