Data Engineer, VP

Flexible Schedule Available

In everything we do, we work to one aim. To make digital experiences which are effortless and secure.

So we organise ourselves around three principles: engineer, protect, and operate. We engineer simple solutions, we protect our customers, and we operate smarter.

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

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 proven 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 proficiency 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