Data & AI Engineer for Scalable Financial Apps

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

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