Senior Lead Software Engineer - Data & Analytics

Jpmorganchase — United Kingdom · Posted ~23 hours ago

Senior Full-time No Visa

Skills

data engineering analytics platform development data pipelines backend services AI/ML Python SQL cloud platforms data warehousing dashboard development

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Summary ✨ AI‑Generated

Strategic role creating advanced analytics capabilities for engineering teams, involving data pipeline construction, backend architecture, and real-time dashboard creation to support data-driven decisions.

Highlights

Lead a team designing a firm-wide analytics platform for engineering performance and AI-assisted decision making, working across data pipelines, backend services, and visualization.

Description

Job Description We are looking for a curious, impact-driven engineer who thrives at the intersection of data, product, and platform — someone who can turn complex engineering signals into clear, compelling insights that drive decisions at scale. At JPMorganChase, we invest in the tools and talent that make great engineering possible, and this role sits at the heart of that mission. As a Senior Lead Software Engineer at JPMorganChase within the Engineering Efficiency and Analytics team, you will design and deliver a firmwide metrics and analytics platform that brings visibility to engineering performance, delivery health, and the measurable impact of AI-assisted development. You will work end-to-end — from data pipelines and backend services to modern web dashboards — partnering with engineering leaders and teams across the firm to define what "good" looks like and make it visible. This is a broad, creative, T-shaped engineering role where your technical depth, analytical thinking, and storytelling ability will directly shape how the firm understands and improves its engineering capability. Job Responsibilities Design and implement modern web dashboards and end-to-end workflows that transform engineering data into clear, actionable insights for teams and leaders across the firmBuild and operate reliable data pipelines that ingest, transform, validate, and publish metric datasets to power analytics experiences, integrating with platforms such as Databricks as neededDesign, build, and maintain secure, scalable backend services and REST APIs that enable metric consumption and power the user interfaceDefine and validate metric logic, perform exploratory and trend analysis, and translate findings into compelling dashboard narratives that inform engineering decisionsPartner with engineering teams, leaders, and stakeholders to align on performance benchmarks and translate shared goals into a coherent metrics strategyImplement CI/CD pipelines, automated testing, secure coding standards, and code review practices to deliver production-grade, maintainable softwareDeploy and operate services on cloud and container platforms, ensuring reliability, scalability, and operational excellenceLeverages 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 standardsApplies 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 Required Qualifications, Capabilities, And Skills Formal training or certification on software engineering concepts and advanced applied experienceFull-stack engineering capability with demonstrated experience building dashboards and web experiences end-to-end, spanning frontend, back-of-frontend, and backend integrationExperience working with SQL databases and analytical data stores at scale, including data warehouse concepts and query optimizationDemonstrated engineering practices including CI/CD pipeline implementation, automated testing, and code review standardsAnalytical capability to develop and validate metrics — including exploratory analysis, cohort and trend analysis, and anomaly detection — and translate results into clear visual narrativesEffective communication and stakeholder partnership skills, with the ability to align technical and non-technical audiences around shared goalsUnderstanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectationsHands-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 Preferred Qualifications, Capabilities, And Skills Experience with React and TypeScript building performant, accessible, data-rich dashboards and visualizationsBackend service and REST API development experience, including authentication and authorization, versioning, error handling, and performance optimizationExperience deploying and operating services on cloud or container platforms (e.g., AWS, Kubernetes, or equivalent enterprise platforms)Experience integrating with Databricks to produce curated, dashboard-ready datasets, including layered data product patterns (e.g., bronze/silver/gold or equivalent) with clear contracts and quality controlsHands-on experience with AWS services (e.g., ECS, S3, SQS, SNS, Kafka), PostgreSQL, and infrastructure-as-code tools such as TerraformPrior experience building metrics or insight products for engineering productivity, developer experience, or technology transformation programsInterest or experience in UX and data visualization design principles ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.