SQL/Python Developer - Software Engineer III

JPMorgan Chase & Co.; Glasgow; On-site; GBP 70,000 - 115,000; Full time

Job summary

JPMorganChase in the United Kingdom is seeking a Software Engineer III within Corporate Technology to join an agile team designing trusted market-leading technology products. You will develop secure, scalable solutions aligned with the firm’s business objectives and participate in end-to-end delivery.

You will leverage AI-assisted development tools, contribute to architecture and data-driven improvements, and ensure code quality through peer reviews, testing, and secure coding standards in a

Qualifications

• Formal training or certification in software engineering concepts with SQL, Data Transformation, ETL, Python.
• Experience with AWS, Databricks and big data technologies.
• Hands-on system design, development, testing, and operational stability.
• Experience coding in a large corporate environment with modern languages and query languages.
• Experience using enterprise AI-assisted development tools and validating outputs for correctness, performance and security.
• Understanding of responsible AI use in engineering workflows and secure handling of data inputs/outputs.
• Knowledge of the Software Development Life Cycle (SDLC).
• Strong grasp of agile practices including CI/CD, Jenkins, Git/Stash, and security.

Responsibilities

• Executes software solutions, design, development, and troubleshooting beyond routine approaches.
• Creates secure, high-quality production code and maintains algorithms.
• Uses enterprise AI coding assist tools to improve quality, speed, and productivity with peer review and tests.
• Applies SDLC tools to improve automation and value.
• Produces architecture and design artifacts for complex applications.
• Gathers and analyzes data to visualize outcomes for continuous improvement.
• Identifies hidden data patterns to drive coding hygiene and architecture improvements.

Skills

SQL

Data Transformation

ETL

Python

AWS

Databricks

Big data

System design

Application development

Testing

Operational stability

AI-assisted development

Responsible AI

SDLC

CI/CD

Jenkins

Git/Stash

Security

Tools

Airflow

Data Mesh

Job description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorganChase within the Corporate Technology, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
• Applies 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.
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and advanced applied experience with SQL, Data Transformation, ETL, Python.
• Working knowledge of AWS, Databricks and big data technologies and concepts.
• Hands-on practical experience in system design, application development, testing, and operational stability
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages.
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security, Jules, Jenkins, Git/Stash

Preferred qualifications, capabilities, and skills

• Knowledge of Airflow, Data Mesh architecture
• Experience with data analysis