Our people work differently depending on their jobs and needs. From home working to job sharing, visit the remote and flexible working page on our website to find out more.

This role is based in the United Kingdom and as such all normal working days must be carried out in the United Kingdom.

Join us as a Data Engineer

• This is an exciting opportunity to use and build on your technical expertise, collaborate with colleagues and build effortless, digital first customer experiences
• You’ll be simplifying the bank through developing innovative data driven solutions, inspiring to be commercially successful through insight, 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 delivering value for our customers by building data solutions. You’ll be carrying out data engineering tasks to build a scalable data architecture including carrying out data extractions, transforming data to make it usable to analysts and data scientists, and loading data into data platforms.

We’ll also expect you to be:

• Developing comprehensive knowledge of the bank’s data structures and metrics, advocating change where needed for product development
• Building automated data engineering pipelines through the removal of manual stages
• Working 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

The skills you'll need

To be successful in this role, you’ll need to be an entry level programmer or Data Engineer with a qualification in Computer Science or Software Engineering or another quantitative field.

You’ll also demonstrate:

• Good critical thinking and proven problem solving capabilities
• Experience or knowledge of ETL technical design, automated data quality testing, QA and documentation, data warehousing, data modelling and data wrangling
• Experience using at least one of the following; RDMS, ETL pipelines, Python, Hadoop and SQL
• A good understanding of modern code development practices

If you need any adjustments to support your application, such as information in alternative formats or special requirements to access our buildings, or if you’re eligible under the Disability Confident Scheme please contact us and we’ll do everything we can to help.