Senior Lead Python Data Platform Engineer (AI-Ready)

JP Morgan Chase; City of Westminster; On-site; GBP 90,000 - 140,000; Full time

Job summary

JPMorganChase in the United Kingdom seeks a Senior Lead Software Engineer to design and implement data and analytics solutions on a federated data platform, delivering AI-ready Data Products and secure pipelines for internal and external data sources.

You will guide teams, drive platform capabilities, and ensure governance, security, and scalable delivery across the SDLC while collaborating with Quantitative Research and Technology teams.

Qualifications

• Formal training or certification on software engineering concepts and extensive applied experience ( NAMR/APAC – India/ LATAM/ Hong Kong)
• Formal training or certification on software engineering concepts and advanced applied experience (EMEA/LATAM-Brazil) Singapore follow local country guidance
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s) including Python
• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls.
• Ability to tackle design and functionality problems independently with little to no oversight
• Practical cloud native experience

Responsibilities

• Provides technical guidance and direction to support business and technical teams, contractors, and vendors delivering data ingestion, transformation, distribution, and data product capabilities on a federated data platform.
• Designs and develops secure, high-quality production code for scalable data pipelines, data services, and marketplace-facing Data Products; reviews, debugs, and improves code written by others.
• Leads design and implementation of reusable platform capabilities that make the platform and Data Products AI-ready (e.g., consistent meaning and definitions, strong metadata/lineage and quality signals, and consumption patterns that support both analytics and AI-enabled use cases).
• Drives decisions influencing product design, data product contracts, distribution approaches, and engineering processes to improve time-to-data, reliability, and consumer experience (including Quantitative Research).
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
• Establishes and promotes engineering standards and automation across the SDLC (testing, CI/CD, observability, performance), ensuring solutions are secure, stable, and scalable.
• Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality and delivery outcomes, while setting measurable validation standards (secure coding, peer review, automated testing) and encouraging reuse of proven patterns within the SDLC/TLM toolchain.
• Acts as a function-wide subject matter expert in one or more focus areas (e.g., data engineering patterns, distributed processing, data product design, platform enablement), and contributes to the broader
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle

Skills

Python

System design

AI-assisted development

Cloud native

Data engineering

Tools

Snowflake

Databricks

Job description

JPMorganChase in the United Kingdom seeks a Senior Lead Software Engineer to design and implement data and analytics solutions on a federated data platform, delivering AI-ready Data Products and secure pipelines for internal and external data sources.

You will guide teams, drive platform capabilities, and ensure governance, security, and scalable delivery across the SDLC while collaborating with Quantitative Research and Technology teams.