Data Engineer, VP

Royal Bank of Scotland; Chennai District; On-site; INR 600,000 - 1,000,000; Full time

Job summary

Royal Bank of Scotland in Chennai invites a Data Engineer at vice president level to lead data-driven solutions across the organization, building scalable pipelines and AI-enabled capabilities while ensuring data safety and compliance.

You'll collaborate with data teams and stakeholders to translate business needs into robust data architectures, streaming ingestion, and production-grade deployments in a cloud-native environment.

Qualifications

• Experience designing data-driven solutions via data pipelines and ETL.
• Ability to extract value from large-scale data and create features.
• Proficient in programming languages and data/software engineering fundamentals.
• Experience with AI agent architectures, planning loops, and RAG.
• Experience with cloud-native infrastructure and secure production AI deployments.

Responsibilities

• Build automated data pipelines with minimal manual steps.
• Embed new data techniques through modelling, training, and oversight.
• Control data platform costs to meet dept cost targets.
• Source data using appropriate tooling for various scenarios.
• Develop streaming data ingestion and transformation solutions.

Skills

AI agent architectures

Data engineering fundamentals

Programming languages

APIs & microservices

CI/CD pipelines

Cloud-native infrastructure

Security & IAM practices

Stakeholder management

Tools

Docker

Kubernetes

APIs

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.

Additional, 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

Hours

45

Job Posting Closing Date:

16/09/2026