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RBS

AWS Data Engineer, VP

RBS Gurugram, Haryana, India

Banking · 1 employee

Yesterday Closes in 2d
data-engineer Principal (10+ yrs) Full-time India
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About the role

You will drive the development of innovative data-driven solutions, including building scalable data pipelines and advanced automation. Additionally, you will manage data platform costs and implement streaming data ingestion strategies to support business objectives.

What they look for

AWS Data Analytics Azure D365 Snowflake Python SQL ETL Design Data Pipelines Data Modeling Data Warehousing Streaming Data Ingestion Automation Data Quality Testing Data Cleansing Scalable Data Architecture Software Engineering

Requirements

Candidates must have at least 12 years of experience in ETL technical design, data quality, and data sourcing. Proficiency in AWS or Azure stacks, Snowflake, Python, and SQL is required, along with strong data modeling and software engineering fundamentals.

Full 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 a strong understanding of data usage and dependencies and experience of extracting value and features from large scale data. You’ll also bring practical experience of programming languages alongside knowledge of data and software engineering fundamentals.

Additionally, you’ll need:

  • At least 12 years of experience of ETL technical design, including data quality testing, cleansing and monitoring, data sourcing, and exploration and analysis
  • Hands-on expertise with AWS Data Analytics or Azure D365 stack, Snowflake, Python, and SQL in the creation of data products and data marts
  • A good understanding of modern code development practice
  • Experience of working in a governed, and regulatory environment
  • Data warehousing and data modelling capabilities

Hours

45

Job Posting Closing Date:

16/10/2026

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