Are you passionate about building data solutions that power real business decisions at scale? At JPMorganChase, you'll work alongside talented engineers in a collaborative, agile environment where your contributions directly impact the reliability and performance of critical data systems. We invest in your growth — offering access to cutting-edge tools, cloud technologies, and AI-assisted engineering practices that keep you at the forefront of the industry.
As a Software Engineer II at JPMorganChase within the Market Data Engineering team in Glasgow, you will design, build, and operate secure and scalable data pipelines and services across AWS and cluster platforms. You will contribute to a high-performing agile team, delivering solutions that are stable, testable, and production-ready. This role offers the opportunity to deepen your expertise across the modern data engineering stack while working on problems that matter to the firm and its clients.
Job responsibilities
- Design, build, and support ETL/ELT pipelines and data services on AWS, ensuring solutions are secure, stable, and scalable
- Develop and maintain data workflows using AWS Glue, including job authoring, data cataloging, and orchestration patterns
- Build and query data stores on Amazon Aurora PostgreSQL, applying sound data modelling principles and performance-aware SQL
- Contribute to Databricks workloads and integrations, supporting development-to-production practices across notebooks and jobs
- Write high-quality, secure code primarily in Python, with JavaScript where appropriate, and troubleshoot issues across upstream and downstream dependencies
- Leverage enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), 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
- Analyze large and diverse datasets to identify problems and contribute to decision-making that supports stable, high-quality application development
- Collaborate with technical and non-technical partners to communicate progress, surface risks, and deliver solutions with a secure-by-design mindset
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and expanding applied experience
- Hands-on experience in system design, application development, testing, and operational stability
- Experience developing, debugging, and maintaining code in a large-scale environment using modern programming languages and database querying languages
- Familiarity with Software Development Life Cycle practices, including exposure to agile methodologies, CI/CD pipelines, resiliency, and security principles
- Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) 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
Preferred qualifications, capabilities, and skills
- Experience with Python for data engineering, including data manipulation and pipeline development using libraries such as pandas
- Practical knowledge of PySpark, including Spark SQL and performance-aware transformations
- AWS data engineering experience, including Lambda/Glue/DataLake/ECS/IAM/CloudWatch etc aware development and operational monitoring patterns
- Proficiency in SQL for analytics and pipeline validation, with PostgreSQL experience a plus
- Experience working with Databricks notebooks and jobs across development-to-production workflows
- An awareness of Market Data and Enterprise Level data security and access tracking
Skills Required
- Formal training or certification in software engineering concepts with expanding applied experience
- Hands-on experience in system design, application development, testing, and operational stability
- Experience developing, debugging, and maintaining code in a large-scale environment using modern programming and database querying languages
- Familiarity with SDLC practices, agile methodologies, CI/CD pipelines, resiliency, and security principles
- Hands-on experience using enterprise-authorized AI-assisted software development tools and validating AI-generated outputs
- Understanding of responsible AI use in engineering workflows, including data sensitivity, secure input/output handling, resiliency, and security expectations
- Python experience for data engineering, including pandas-based data manipulation and pipeline development
- Practical knowledge of PySpark, Spark SQL, and performance-aware transformations
- AWS data engineering experience with Lambda, Glue, data lakes, ECS, IAM, CloudWatch, and operational monitoring patterns
- Proficiency in SQL for analytics and pipeline validation; PostgreSQL experience is a plus
- Experience with Databricks notebooks and jobs across development-to-production workflows
- Awareness of market data and enterprise-level data security and access tracking
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Health coverage is considered comprehensive, including medical, dental, and vision, alongside wellness and mental health resources. Some locations add onsite health centers and related wellbeing support.
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Retirement Support — Retirement offerings include a 401(k)-type savings plan and related financial benefits, with options such as employee stock purchase participation. Financial planning resources are also highlighted to support long-term savings.
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Parental & Family Support — Paid parental leave of 16 weeks for birth or adoption is available for all parents. Child care and back-up child care resources further reinforce family support.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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