AWS Data Engineer, VP

RBS; Gurugram District; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

RBS is hiring a Data Engineer in Gurugram, India, to build data pipelines and foster data-driven decision making. The role focuses on developing scalable data architectures, data models, and ETL processes while ensuring data security and regulatory compliance.

You will work with AWS Data Analytics or Azure D365 stack, Snowflake, Python, and SQL to create data products and data marts, driving practical data solutions and cost-efficient data platforms.

Qualifications

• At least 12 years of experience in ETL design, data quality testing, cleansing and monitoring.
• Hands-on with AWS Data Analytics or Azure D365 stack, Snowflake, Python, and SQL for data products and data marts.
• Knowledge of modern code development practices and working in a governed, regulatory environment.

Responsibilities

• Build data pipelines and scalable data architectures to support customer insights.
• Develop data driven solutions through data modelling and ETL design.
• Deliver cost awareness by understanding data platform costs and budget targets.
• Source new data using appropriate tooling and build streaming data ingestion pipelines.

Skills

Data modelling

ETL design

Python programming

SQL

Data quality testing

Regulatory environment

Tools

AWS Data Analytics

Azure D365 stack

Snowflake

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 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 languagesalongside 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