Join us as a Data Engineer
- We’re looking for someone to build effortless, digital first customer experiences to help simplify our organisation and keep our data safe and secure
- Day-to-day, you’ll develop innovative, data-driven solutions through data pipelines, modelling and ETL design while inspiring to be commercially successful through insights
- If you’re ready for a new challenge, and want to bring a competitive edge to your career profile by delivering streaming data ingestions, this could be the role for you
- We're offering this role at associate vice president level
Your daily responsibilities will include you developing a comprehensive knowledge of our data structures and metrics, advocating for change when needed for product development. You’ll also provide transformation solutions and carry out complex data extractions.
We’ll expect you to develop a clear understanding of data platform cost levels to build cost-effective and strategic solutions. You’ll also source new data by using the most appropriate tooling before integrating it into the overall solution to deliver it to our customers.
You’ll also be responsible for:
- Driving customer value by understanding complex business problems and requirements to correctly apply the most appropriate and reusable tools to build data solutions
- Participating in the data engineering community to deliver opportunities to support our strategic direction
- Carrying out complex data engineering tasks to build a scalable data architecture and the transformation of data to make it usable to analysts and data scientists
- Building advanced automation of data engineering pipelines through the removal of manual stages
- Leading on the planning and design of complex products and providing guidance to colleagues and the wider team when required
To be successful in this role, you’ll have an understanding of data usage and dependencies with wider teams and the end customer. You’ll also have experience of extracting value and features from large scale data.
We’ll expect you to have experience of ETL technical design, data quality testing, cleansing and monitoring, data sourcing, exploration and analysis, and data warehousing and data modelling capabilities.
You’ll also need:
- At least eight years of experience in scikit-learn and SciPy for ML algorithms along with experience in Python and PyTorch
- Knowledge of API, Microservices, async programming, multithreading, performance, reliability, caching, event driven design, data pipelines, workflows, and queues
- Experience of building rapid applications using FastAPI and Streamlit, Matplotlib, and seaborn enabling prototyping
- Experience in developing intelligent agents capable of reasoning, planning, and tool use by leveraging frameworks such as React, LangChain, Langraph.
- Machine Learning experience of clustering techniques and classification models
Hours
45Job Posting Closing Date:
17/06/2026Skills Required
- ETL technical design, data quality testing, cleansing, monitoring, data sourcing, exploration, analysis, data warehousing and data modelling capabilities
- At least eight years of experience with scikit-learn and SciPy for ML algorithms, plus experience in Python and PyTorch
- Knowledge of API, Microservices, async programming, multithreading, performance, reliability, caching, event-driven design, data pipelines, workflows, and queues
- Experience building rapid applications and prototypes using FastAPI, Streamlit, Matplotlib, and seaborn
- Experience developing intelligent agents capable of reasoning, planning, and tool use using frameworks such as React, LangChain, Langraph
- Machine learning experience with clustering techniques and classification models
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.
