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Join our digital revolution in NatWest Digital X
In everything we do, we work to one aim. To make digital experiences which are effortless and secure.
So we organise ourselves around three principles: engineer, protect, and operate. We engineer simple solutions, we protect our customers, and we operate smarter.
Our people work differently depending on their jobs and needs. From hybrid working to flexible hours, we have plenty of options that help our people to thrive.
This role is based in the United Kingdom and as such all normal working days must be carried out in the United Kingdom.
Job Description
Join us as a Principal Software Engineer
- This is an opportunity for a technically minded individual to join us as a Principal Software Engineer
- You’ll be designing, producing, testing and implementing AI and data-led software systems
- Hone your existing software engineering skills and advance your career in this critical role
What You'll Do
Working in an AI and data innovation team, you’ll be liaising with principal engineers, data scientists, data engineers, AI practitioners and architects to understand how our solutions support business objectives.
You’ll also be:
- Applying Agile methods to the development of software on the backlog
- Design and build solutions to support data analytics, forecasting, machine learning and AI use cases using modern tools such as Spark, Kafka, Snowflake and Airflow
- Producing resilient and long-lived software and acting flexibly to cope with future needs
- Delivering intentional architecture and formulating emergent design through innovative ideas, experimentation and prototyping
- Designing and developing software with a focus on the automation of build, test and deployment activities, using executable patterns
The Skills You'll Need
We’re looking for someone with strong knowledge of technology change management processes and the ability to deliver quickly in a regulated environment, as well as full stack experience in software design and implementation, including being able to exploit programming languages to solve complex problems. You’ll also need to be capable of complex requirements analysis capture and validation against and with business and systems requirements.
You’ll have the ability to partner effectively in cross-functional teams with data scientists and data engineers, you’ll have hands-on experience in both backend and frontend technologies as well as strong experience with modern cloud-based Data Engineering tooling such as Snowflake, Airflow, AWS EMR, Glue and the design and build of cloud-based/hybrid applications.
Additionally, you’ll demonstrate:
- Experience of leading the implementation of programming best practice, especially around scalability, automation, virtualisation, optimisation, availability and performance
- Experience in statistics, econometrics, and machine learning workflows using tools such as sagemaker
- Mentoring and technical leadership skills to drive continuous improvement in design and code quality standards
- Hands-on experience of Java, node.js, FastAPI, React, micro-frontend architecture, module federation
- Sound collaboration skills with the ability to work with business teams to produce pragmatic solutions that work for the business
- Experience of information security policies and practices within the financial sector
- Strong stakeholder management skills and communication skills with the ability to communicate complex technical concepts in a simple way
