AWS Data Engineer, VP

Royal Bank of Scotland; Gurugram District; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Royal Bank of Scotland in India (Gurugram) seeks a seasoned Data Engineer to design and deliver data pipelines and scalable data architectures that put data at the heart of decision-making. You will simplify the data landscape, enabling customer-centric insights and robust analytics across the bank.

You will work with AWS Data Analytics or Azure D365, Snowflake, Python and SQL, applying best practices in data governance within a regulated environment to build reliable, reusable data solutions.

Qualifications

• 12+ years in ETL design, data quality testing, cleansing and monitoring.
• Experience with data sourcing, exploration and analysis.
• Knowledge of data warehousing and data modelling.
• Experience in governed/regulatory environments.

Responsibilities

• Building automation of data engineering pipelines through removal of manual stages.
• Embedding new data techniques into the business through role modelling, training, and experiment design oversight.
• Delivering understanding of data platform costs to meet department targets.
• Sourcing new data using appropriate tooling for the situation.
• Developing solutions for streaming data ingestion and transformations.

Skills

Data engineering

Programming languages

Data modelling

Data pipelines

Tools

AWS Data Analytics

Azure D365

Snowflake

Python

SQL

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 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