Data Engineer, VP

Royal Bank of Scotland; Gurugram District; On-site; INR 3,000,000 - 4,200,000; Full time

Job summary

Royal Bank of Scotland in Gurugram is seeking a VP-level Data Engineer to lead data pipelines, modelling and ETL design, delivering scalable data-driven solutions while ensuring data security and regulatory compliance.

You will drive customer value by building reusable data architectures, automating pipelines, and collaborating with data teams to optimize costs and deliver measurable business outcomes.

Qualifications

• Strong understanding of data usage and dependencies.
• Experience extracting value and features from large-scale data.
• Proficient programming and data engineering fundamentals.

Responsibilities

• Build and automate data engineering pipelines to remove manual steps.
• Embed new data techniques into business through modelling and experimentation oversight.
• Deliver clear understanding of data platform costs to meet targets.
• Source data using appropriate tooling for streaming and batch scenarios.
• Develop streaming ingestion and transformation solutions aligned with strategy.

Skills

Configuration-first data platform

Lead engineers

Code quality

Git CI/CD

Governance and risk delivery

Communication skills

Tools

PySpark

SQL

Airflow

MongoDB

Apache Iceberg

AWS

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:

• - To lead a configuration-first data platform, using reusable frameworks, metadata-driven pipelines and low-code/no-code engineering principles
• - Strong expertise in PySpark, SQL, Airflow, MongoDB, Apache Iceberg and AWS, with experience in CDC, lakehouse architecture and production resilience
• - To lead engineers and own code quality, Git-based CI/CD, automation, governance and risk-controlled delivery within a regulated environment
• - A good understanding of modern code development practices
• - Experience of working in a governed, and regulatory environment
• - Strong communication skills with the ability to proactively engage and manage a wide range of stakeholders

Hours

45

Job Posting Closing Date:

10/09/2026