Data Engineer, VP

NatWest Group; Chennai District; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

NatWest Group in Chennai invites a VP-level Data Engineer to lead data-driven initiatives, turning complex data into actionable customer insights. You’ll craft data pipelines, ML-ready architectures, and secure data platforms to support digital-first experiences for customers of the bank.

Join us to drive innovative data solutions, collaborate with cross-functional teams, and shape the data strategy while ensuring governance and reliability across production systems.

Qualifications

• Strong understanding of data usage and dependencies.
• Experience extracting value from large-scale data.
• Experience with data and software engineering fundamentals.
• Ability to design and build AI agent architectures.

Responsibilities

• Develop data pipelines and ETL design to simplify the organisation.
• Model data and build scalable data architectures.
• Deliver data solutions that enable commercial success while protecting data.
• Collaborate with data engineering community and stakeholders.

Skills

AI agent architectures

Data pipelines

Cloud-native infrastructure

CI/CD pipelines

APIs & microservices

Data engineering fundamentals

Programming languages

Tools

MCP servers/clients

Asynchronous processing

Containers

IAM & security

Job description

• 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

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

• Expertise in designing and building AI agent architectures, including planning loops, tool integration, memory management, multi-turn conversations, retrieval-augmented generation (RAG), prompt engineering, grounding, and output validation


• Strong experience in developing MCP servers/clients, APIs, microservices, asynchronous processing, queues, containers, CI/CD pipelines, and integrating AI solutions with enterprise systems and data platforms


• Proficiency in cloud-native infrastructure, deployment, scaling, IAM, secrets management, networking, observability, cost optimisation, and operating production-grade AI applications securely and reliably


• Ability to build evaluation frameworks, automated testing and regression controls, implement guardrails and compliance measures, ensure auditability and model governance, and provide technical leadership to drive engineering excellence


• Strong communication skills with the ability to proactively engage and manage a wide range of stakeholders