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