Time since we first saw it
Day 1
Early. Similar jobs usually come down between day 6 and day 54.
At Rbs, jobs usually come down by about day 6.
From 11,501 similar postings that came down, and 68 of Rbs’s. Coming down is not always a hire.
Data Engineer, VP
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingBuild automated data engineering pipelines by removing manual stages
Develop solutions for streaming data ingestion and transformations
Deliver clear understanding of data platform costs against savings targets
Source new data using the most appropriate tooling
Own Terraform infrastructure as code for cloud resource provisioning
From the employer’s posting
Building advanced automation of data engineering pipelines through removal of manual stages
Developing solutions for streaming data ingestion and transformations in line with our streaming strategy
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
Own Infrastructure as Code (Terraform) to automate cloud resource provisioning and ensure consistent deployments
What you’ll bring
All qualificationsCore experience
- Extensive experience in AWS cloud platforms
- Hands-on Terraform experience
- Strong understanding of FinOps and cloud cost governance
- Knowledge of cloud security principles and data orchestration
- Proficiency in Python or Bash scripting
Qualification wording
you’ll need an extensive experience in AWS cloud platforms
proven AWS and Snowflake expertise with hands-on Terraform experience
strong understanding of FinOps and cloud cost governance
knowledge of cloud security principles and data orchestration
proficiency in Python or Bash scripting
Posting record
Report an errorActively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 6, 20261 day ago
- Recorded sightings
- 2
- Last seen by us
- Nov 7, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Rbs is hiring
3 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Takes jobs down quickly
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Bash
- Python
- AWS
- S3
- Snowflake
- Terraform
- Airflow
Where the posting names them
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:
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
- 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
Your next step
Complete your application on rbs.wd3.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Workday
- You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
- “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
Has Rbs posted this job before?
Yes. We’ve followed 3 other Data Engineer, VP jobs there since July 2026. 3 came down, usually after about 5 days.
If this one keeps the same pace, it may come down around November 11.
Large employers often post one title for several teams, so these can be separate openings.
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
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
45Job Posting Closing Date:
12/11/2026Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Bengaluru
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- Work authorization
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