SWE Data/AI Engineer

JP Morgan Chase; Glasgow; On-site; GBP 62,000 - 102,000; Full time

Job summary

JPMorganChase in Glasgow, United Kingdom, is seeking a software engineering professional with strong data engineering skills, Python proficiency, and hands-on experience with Databricks and AWS. You will design, develop, test, and deploy secure production code for critical financial platforms.

Key responsibilities include architecture delivery, SDLC governance, and using AI-assisted tooling to improve code quality, resilience, and delivery speed, while collaborating with engineering teams and

Qualifications

• Formal training or certification on software engineering concepts and proficient applied experience.
• Hands-on data engineering experience with Databricks and AWS.
• Experience in system design, application development, testing, and operational stability.
• Proficiency in Python coding.
• Solid understanding of agile methodologies including CI/CD, resiliency, and security.
• Knowledge of the Software Development Life Cycle.

Responsibilities

• Execute software solutions, design, develop, and troubleshoot complex problems beyond routine approaches.
• Create secure high-quality production code and maintain runtime-algorithms.
• Produce architecture and design artifacts for complex applications while ensuring design constraints.
• Gather and analyze data to develop visualizations and reporting for continuous improvement.
• Identify hidden data patterns to drive improvements in coding hygiene and architecture.
• Contribute to engineering communities and events exploring new technologies.
• Leverage enterprise AI coding tools to improve quality, speed, and productivity with peer reviews.

Skills

Software engineering concepts

Data engineering

Python

Agile methodologies

System design

CI/CD

Security

SDLC

Generative AI awareness

Tools

Databricks

AWS

Python

CI/CD tooling

AI-assisted development tools

Job description

Salary: £62,000 - 102,000 per year

Requirements:

• Formal training or certification on software engineering concepts and proficient applied experience


• Strong hands-on data engineering experience with Databricks and AWS


• Hands-on practical experience in system design, application development, testing, and operational stability


• Proficiency in coding in Python


• Solid understanding of agile methodologies such as CI/CD, application resiliency, and security


• Overall knowledge of the Software Development Life Cycle


• Curiosity and foundational understanding of Generative AI, large language models, and AI/ML solutions


• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment, with demonstrated ability to critically evaluate and validate AI-generated outputs


• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations


• Experience working within large-scale financial platforms supporting reporting, reconciliation, or controllership functions


• Familiarity with enterprise-scale data pipelines and event-driven architectures


• Exposure to audit-ready reporting frameworks or financial data governance practices


• Experience contributing to or leading engineering communities of practice

Responsibilities:

• Execute software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems


• Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems


• Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development


• Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems


• Proactively identify hidden problems and patterns in data and use these insights to drive improvements to coding hygiene and system architecture


• Contribute to software engineering communities of practice and events that explore new and emerging technologies


• Leverage enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity, while validating outputs through peer review, automated testing, and secure coding standards


• Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation

Technologies:

• AI


• AWS


• CI/CD


• Databricks


• Marketing


• Python


• Security


• Cloud


• Support

More:

We are JPMorganChase, a global leader in financial services with a first-class business in a first-class way approach to serving clients. Within our CT AWM Finance platform, we operate at enterprise scale, supporting MIS Finance, Product Controllers, and Regional CFO teams with reliable, audit-ready reporting across approximately 42M accounts, 87M positions, 8M transactions, and 700k manual adjustments. We offer a collaborative corporate functions environment that spans finance, risk, human resources, and marketing, and we value diversity, inclusion, and reasonable accommodations. This is a full-time role.

last updated 36 week of 2026