Data Engineer, VP

Join us as a Data Engineer

You’ll be the voice of our customers, using data to tell their stories and put them at the heart of all decision-making

We’ll look to you to drive the build of effortless, digital first customer experiences

If you’re ready for a new challenge and want to make a far-reaching impact through your work, this could be the opportunity you’re looking for

We're offering this role at vice president level

As a Data Engineer, you’ll be looking to simplify our organisation by developing innovative data driven solutions through data pipelines, modelling and ETL design, inspiring to be commercially successful while keeping our customers, and the bank’s data, safe and secure.

You’ll drive customer value by understanding complex business problems and requirements to correctly apply the most appropriate and reusable tool to gather and build data solutions. You’ll support our strategic direction by engaging with the data engineering community to deliver opportunities, along with carrying out complex data engineering tasks to build a scalable data architecture.

Your responsibilities will also include:

Building advanced automation of data engineering pipelines through removal of manual stages

Embedding new data techniques into our business through role modelling, training, and experiment design oversight

Delivering a clear understanding of data platform costs to meet your departments cost saving and income targets

Sourcing new data using the most appropriate tooling for the situation

Developing solutions for streaming data ingestion and transformations in line with our streaming strategy

The skills you'll need

To thrive in this role, you’ll need an extensive experience in AWS cloud platforms, FinOps, and Terraform to lead the design, deployment, and management of secure, scalable, and cost-efficient data infrastructure supporting our data lakehouse environment like AWS EMR, Snowflake, Airflow etc.

You'll also have p roven AWS and Snowflake expertise with hands-on Terraform experience, strong understanding of FinOps and cloud cost governance and knowledge of cloud security principles and data orchestration with p roficiency in Python or Bash scripting.

Additionally, you’ll need:

Lead development and optimisation of data pipelines and infrastructure using AWS services (EMR, S3, Glue, Lambda)

Own Infrastructure as Code (Terraform) to automate cloud resource provisioning and ensure consistent deployments

Drive FinOps best practices to monitor and optimise cloud costs while maintaining security

Define and enforce security standards across data environments, ensuring compliance and robust data protection

Provide technical leadership and collaborate across teams to integrate security and cost-efficiency into workflows

Oversee Airflow workflow architecture and performance and collaborate on CI/CD pipelines for data infrastructure deployments

Lead troubleshooting, incident response and continuous improvement initiatives

Hours

45

Job Posting Closing Date:

12/11/2026