SQL/Python Developer - Software Engineer III
Software Engineer III in JPMorganChase's Corporate Technology team in Glasgow, designing, building and troubleshooting data-driven software solutions using SQL, Python, ETL and big data tools on AWS and Databricks, while leveraging AI-assisted development tools within an agile SDLC environment.
- Compensation
- Not disclosed
- Location
- Glasgow, United Kingdom
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Software engineering
- Posted
Skills
Must have
- Formal training or certification in software engineering concepts and advanced applied experience with SQL, data transformation, ETL and 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 developing, debugging and maintaining code in a large corporate environment with modern programming and database querying languages
- Hands-on experience with AI-assisted software development tools, with ability to validate and refine AI-generated outputs for correctness, performance and security
- Understanding of responsible AI use in engineering workflows, including data sensitivity and secure handling of inputs/outputs
- Overall knowledge of the Software Development Life Cycle
- Solid understanding of agile methodologies such as CI/CD, application resiliency and security, Jenkins, Git/Stash
Nice to have
- Knowledge of Airflow and Data Mesh architecture
- Experience with data analysis
Full 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.