Join us as a Data Engineer, Analytics Engineering
- We’re building a brand new Data Products factory capability at the Private Banking & Wealth Management (PBWM) franchise and are looking for a Data Engineer to shape the canonical and semantic data layers that power our Analytics, AI, reporting, and self service capabilities
- You’ll sit at the heart of our data ecosystem, partnering with Business, Technology and Functions to design clean, reusable data assets from the ground up, and turning them into trusted, governed data products that the business can rely on every day
- This is a hands on role with significant influence over how data is structured, governed, and consumed across PBWM
- You’ll work from home some of the time, but you’ll also spend at least twice a week working from our London or Edinburgh office
What you'll doAs a Data Engineer, you’ll be looking to simplify our organisation by developing innovative data driven solutions through data pipelines, modelling and 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. In addition, you’ll build a strong understanding of our Data Product ecosystem and contribute to the design and delivery of reusable Data Products that support PBWM business and functions.
Your responsibilities will also include:
- Working with business stakeholders to understand their needs and translate them into intuitive canonical and semantic data models
- Designing and evolving standardised, cross domain data models such as party, account, deposit, mortgages that align with our enterprise data model
- Building and maintaining governed analytical data products, ensuring they are well documented, discoverable, and consistently used across teams
- Defining and implementing data quality checks, SLAs, and governance practices so that our data is accurate, reliable, and compliant
- Collaborating with data architects, engineers, BI teams and data scientists to ensure models are scalable, performant, and easy to consume on our cloud data platform
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:
- Significant experience as an Analytics Engineer, BI Engineer, or Data Architect and worked in complex, data rich environments
- Proven track record of managing governed data products with clear ownership, SLAs, documentation, and quality control
- Strong track record designing canonical data models that standardise entities across multiple systems or domains and semantic layers that present data in a clearly to different audiences or stakeholders
- Excellent SQL and data modelling skills on modern formats like iceberg on AWS, with confidence working on large and complex datasets in the cloud
- Hands on experience with modern analytics in engineering practices such as, transformation-as-code, testing, version control and automated deployment
- Ability to communicate complex data concepts in simple terms and lead workshops with nontechnical stakeholders
Hours
35Job Posting Closing Date:
20/10/2026Ways of Working:HybridSkills Required
- Significant experience as an Analytics Engineer, BI Engineer, or Data Architect in complex, data-rich environments
- Experience managing governed data products with ownership, SLAs, documentation, and quality control
- Experience designing canonical data models across multiple systems or domains
- Experience designing semantic data layers for different audiences and stakeholders
- Excellent SQL and data modeling skills
- Experience working with modern data formats such as Apache Iceberg on AWS
- Experience working with large and complex cloud datasets
- Hands-on experience with transformation-as-code, testing, version control, and automated deployment
- Ability to communicate complex data concepts clearly and lead workshops with nontechnical stakeholders
NatWest Group Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NatWest Group and has not been reviewed or approved by NatWest Group.
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Flexible Benefits — A flexible ValueAccount structure with pension and benefit funding allows tailoring of health, protection, lifestyle, and savings options, with unused amounts typically paid as cash. This flexibility supports personalisation of coverage, particularly in Great Britain where the framework is most detailed.
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Retirement Support — Employer-funded pension contributions are provided on top of salary in Great Britain, alongside automatic retirement enrollment and share/save programs. This creates structured long‑term wealth support as part of total reward.
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Parental & Family Support — UK policies outline extended maternity, adoption and equal partner leave on full pay with a phased return, plus paid neonatal care leave. These provisions are positioned as market‑leading and complement broader flexibility resources.
NatWest Group Insights
What We Do
We’re a business that understands when our customers and people succeed, our communities succeed, and our economy thrives. As part of our purpose, we’re looking at how we can drive change for our communities in enterprise, learning and climate. As one of the leading supporters of UK business, we’re prioritising enterprise as a force of change. We’re focusing on the people and communities who have traditionally faced the highest barriers to entry and figuring out ways to remove these. Learning is also key to our continued growth as a company in an ever changing and increasingly digital world. By setting a dynamic and leading learning culture, our people prosper, and our customers are given the tools to continue to improve their financial capability and confidence. One of the biggest challenges we all face in our future is climate change. That’s why we’ve put it right at the core of our purpose. We want to champion climate solutions with financing and entrepreneurial support, fully embed climate into our culture and decision making, and be climate positive by 2025. We’re committed to using our purpose to break down barriers, drive change and ultimately create a great place to work.
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