Senior Lead Software Engineer - Data & Analytics
JPMorgan Chase9 hours ago
Glasgow, United KingdomStaff+
Responsibilities
- Design and implement web dashboards and end-to-end workflows that turn engineering data into actionable insights.
- Build and operate data pipelines that ingest, transform, validate, and publish analytics datasets, including integrations with Databricks.
- Develop secure, scalable backend services and REST APIs supporting metric consumption and user interfaces.
- Define and validate metrics, conduct exploratory, cohort, trend, and anomaly analysis, and communicate findings through dashboard narratives.
- Partner with engineering teams, leaders, and stakeholders to establish performance benchmarks and metrics strategy.
- Implement CI/CD pipelines, automated testing, secure coding practices, and code reviews.
- Deploy and operate services on cloud and container platforms with a focus on reliability, scalability, and operational excellence.
- Use enterprise-authorized AI-assisted development tools for coding, testing, troubleshooting, refactoring, and documentation while validating outputs through review and testing.
Requirements
- Formal training or certification in software engineering concepts with advanced applied experience.
- Full-stack experience building dashboards and web experiences across frontend, back-of-frontend, and backend integration.
- Experience with SQL databases, analytical data stores, data warehouses, and query optimization at scale.
- Experience implementing CI/CD pipelines, automated testing, and code review practices.
- Ability to develop and validate metrics, perform exploratory and trend analysis, detect anomalies, and create clear visual narratives.
- Strong communication and stakeholder partnership skills across technical and non-technical audiences.
- Understanding of responsible AI use, data sensitivity, secure input/output handling, resiliency, and security expectations.
- Hands-on experience with enterprise-authorized AI-assisted software development tools and the ability to critically evaluate generated outputs.
- Preferred experience with React and TypeScript for performant, accessible, data-rich dashboards and visualizations.
- Preferred backend and REST API experience covering authentication, authorization, versioning, error handling, and performance optimization.
- Preferred experience deploying services on AWS, Kubernetes, or equivalent cloud and container platforms.
- Preferred Databricks integration experience, including layered bronze/silver/gold data products, data contracts, and quality controls.
- Preferred experience with AWS services, PostgreSQL, Terraform, engineering productivity metrics, developer experience programs, or data visualization and UX design.
Tech Stack
Categories
Data EngineeringFull Stack
About JPMorgan Chase
JPMorgan Chase provides consumer and commercial banking, payments, credit card, wealth management, and corporate and investment banking services to individuals, businesses, institutions, and governments. The public company (NYSE: JPM) earns revenue from interest, fees, trading, and asset management across operations in more than 100 markets. Headquartered in New York City with roots dating to 1799, it serves retail customers and prominent corporate and government clients through brands including Chase and J.P. Morgan.