Data Engineer, VP

NatWest Group is hiring a Data Engineer, VP in Bengaluru, India. Level rates it ; you can apply on NatWest Group.

Level's read on this job

On Level's scale, this data engineer role is Little AI ●○○○: aI is not part of the work.
Level classifies it as an executive role.
Level lists 87 other open roles at NatWest Group.
The role was posted in the last few days.

AI in this role

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

What you'll do

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 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

Hours

Job Posting Closing Date:

12/11/2026

How we rate this

Data Engineer, VP at NatWest Group rates 25 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.