NatWest Group
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Chennai · On-site · 1-3 Yrs · 21 hours ago
Banking & Lending · 10000+ Employees · Edinburgh, United Kingdom
We know our success depends on helping our customers succeed. By championing potential, we can make a meaningful impact in our customers’ lives and equip them to play a positive part in the economy and environment. We’re concentrating on bringing our purpose to life across three initial areas of focus: Learning: As an organisation, we never stop learning. We investigate the latest technologies and invite the best of industry in so we can keep improving how we do what we do. This curiosity extends to our people too, and we make sure they have the tools and the ability to learn in ways that suit them. Climate: We know that climate change is one of the greatest challenges facing our planet, and we intend to do our part to lead the transition to a green economy. We’re a leading lender to the UK renewables sector, and we’re helping shape our customers’ behaviours. Enterprise: We’re already the UK’s biggest bank for enterprise. We’re now working to remove barriers which prevent people and groups from reaching their entrepreneurial potential.
Hiring: Engineering
What employees say
+ Comfortable shift timings Leave policy is intact
− Poor management Entire management especially in retail is sick
More reviews on the company profile.
Interview experience · Intern Trainee
Interview was very smooth. They asked questions from my resume and about the projects that I built. They also asked about one of the hackathons in which I participated and won.
Easy difficulty · Bengaluru · 784 reports
More interview insightsJob description
Overview
Join us as a Data Engineer
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
- 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
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Job application FAQ
Last updated 18 September 2026
- How do I apply for Data Engineer, VP at NatWest Group?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. NatWest Group may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Engineer, VP role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data Engineer, VP remote or on-site in Chennai, Tamil Nadu?
- This listing is marked on_site with location Chennai, Tamil Nadu. Confirm details on the job description before applying.
- What skills matter for this Data Engineer, VP role at NatWest Group?
- This is a mid-level Data Engineer, VP role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.