Quantexa Data Engineer, VP

Royal Bank of Scotland; Gurugram District; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

Royal Bank of Scotland in Gurugram invites applications for a Quantexa Data Engineer at VP level to shape data-driven decision making and build scalable data pipelines. The role focuses on delivering innovative data solutions while maintaining security and governance across platforms.

You will collaborate with stakeholders to apply appropriate tools, drive cost efficiency, and advance streaming and batch data capabilities in a regulated banking environment.

Qualifications

• Experience with ETL design, data quality testing, cleansing and monitoring.
• Data warehousing and data modelling capabilities.
• Strong communication and stakeholder management.

Responsibilities

• 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.

Skills

Data engineering

ETL design

Data modelling

Quantexa

Programming languages

Data warehousing

Tools

ETL tools

Data pipelines

Job description

Join us as a Quantexa 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 need at least twelve years of todal experience with good experience with Quantexa. You’ll also bring practical experience of programming languages alongside knowledge of data and software engineering fundamentals.

Additionally, you’ll need:

• Experience of ETL technical design, data quality testing, cleansing and monitoring, data sourcing, and exploration and analysis
• Data warehousing and data modelling capabilities
• 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: 30/09/2026