Senior Data Engineer
| Posting date: | 11 February 2026 |
|---|---|
| Hours: | Full time |
| Closing date: | 13 March 2026 |
| Location: | London, EC2M 4AA |
| Company: | NatWest Group |
| Job type: | Permanent |
| Job reference: | R-00272185 |
Summary
Join us as a Senior Data Engineer
This is an opportunity for a technically minded individual to join us as a Senior Data Engineer
You’ll be designing, producing, testing and implementing data driven solutions, working across the lifecycle of the system
Hone your existing data engineering skills and advance your career in this critical role
Our team operates within a hybrid working model, which means you’ll work from home some of the time, but you’ll also spend one day per week working from our London office to collaborate with your colleagues
What you'll do
Working in a permanent feature team, you’ll be developing knowledge of aspects of the associated platform across the disciplines of business, applications, data and infrastructure. You’ll also be liaising with principal engineers, architects in the domain and other key stakeholders to understand how the platform works and how it supports business objectives.
You’ll also be:
Applying Agile methods to the development of data engineering solutions
Producing resilient and long-lived solutions and acting flexibly to cope with future needs
Delivering intentional architecture and formulating emergent design through innovative ideas, experimentation and prototyping
Designing and developing solutions with a focus on the automation of build, test and deployment activities, using executable patterns
Mentoring and training other team members on data engineering best practices
The skills you'll need
We’re looking for someone with strong full stack experience in data engineering design and implementation. You’ll bring extensive experience across the modern data stack, including pipeline development in SQL and Python, and data orchestration and transformation using Airflow and dbt. You’ll also be capable of complex requirements analysis against business and systems requirements.
Additionally, you’ll demonstrate:
Experience of leading the implementation of best practice, especially around scalability, automation, virtualisation, optimisation, availability and performance
Experience of information security policies and data governance practices within the financial sector
Strong stakeholder management and communication skills with the ability to communicate complex technical concepts in a simple way
Strong proficiency in relational databases, advanced SQL, and robust data modelling
Experience designing, building, and operating cloud‑based data solutions (Azure preferred)
Extensive experience working with scalable batch and streaming architectures using distributed data processing frameworks such as Spark and PySpark