Lead Software Engineer - Asset Management Data Platform

J.P. Morgan; Greater London; On-site; GBP 80,000 - 100,000; Full time

Job summary

A leading financial institution in Greater London is seeking a Lead Software Engineer to design and implement data analytics solutions on a federated platform. You will develop automated data ingestion pipelines and collaborate with cross-functional teams to drive innovation. The ideal candidate will have proficiency in public cloud analytics technologies, particularly Snowflake, and strong communication skills to engage with stakeholders effectively. This role offers opportunities for career growth while working with cutting-edge technologies.

Qualifications

• Experience with public cloud analytics technologies, such as Snowflake.
• Advanced proficiency in programming languages, including Python.
• Strong communication skills and confidence in stakeholder engagement.

Responsibilities

• Develop secure, high-quality production code.
• Identify opportunities to improve operational stability.
• Drive evaluation sessions with external vendors.

Skills

Public cloud analytics technologies

Modern data architectures

Python

Stakeholder engagement

Infrastructure-as-Code tooling

Agile methodologies

Automation and continuous delivery methods

Financial services IT systems

Tools

Snowflake

Databricks

Job description

Join us and shape the future of data and analytics at JPMorgan Chase. As a Lead Software Engineer, you will have the opportunity to design and deliver market-leading technology products that support our business objectives. You will collaborate with talented colleagues in an inclusive, agile environment where your ideas and expertise are valued. We empower you to grow your career, work with cutting‑edge technologies, and make a meaningful impact. Discover a place where your skills drive real change.

As a Lead Software Engineer in the Asset & Wealth Management Data & Analytics Engineering team, you will design and implement technical data and analytics solutions on a federated data platform. You will develop automated data ingestion and transformation pipelines, create new distribution channels, and deliver enhanced Data Products within a comprehensive data marketplace. You will collaborate with Technology groups and Business consumers, including Quantitative Research, to support key business initiatives. Your work will help drive innovation and operational excellence across our organization.

Job Responsibilities

• Develop secure, high‑quality production code and review and debug code written by others
• Identify opportunities to automate remediation of recurring issues and improve operational stability
• Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs and technical credentials
• Drive communities of practice across Software Engineering to promote new and leading‑edge technologies
• Design and implement performant automated data ingestion and transformation pipelines
• Build new distribution channels and deliver enhanced Data Products
• Collaborate with stakeholders to understand requirements and deliver impactful solutions
• يم foster a team culture of diversity, opportunity, inclusion, and respect
• Ensure operational stability and scalability of software applications and systems
• Apply creative problem‑solving to design, development, and technical troubleshooting
• Contribute to all aspects of the Software Development Life Cycle

Required Qualifications, Capabilities, and Skills

• Experience with public cloud analytics technologies, such as Snowflake
• Understanding of modern data architectures, including Data Mesh and Data Fabric
• Advanced proficiency in programming languages, including Python
• Associations with dispatches of lead developer, prove your ability to lead and manage others
• Strong communication skills and confidence in stakeholder engagement
• Proficiency in building and deploying performant software and familiarity with Infrastructure‑as‑Code tooling
• Hands‑on experience in system design, application development, testing, and operational stability
• Proficiency in automation and continuous delivery methods
• Advanced understanding of agile methodologies, including CI/CD, Application Resiliency, and Security
• Demonstrated proficiency in software applications and technical processes within technical disciplines (e.g., cloud, AI, machine learning, mobile)
• In‑depth knowledge of financial services industry IT systems
• Practical cloud native experience

Preferred Qualifications, Capabilities, and Skills

• Experience with Javarows, especially for analytics platforms and solutions
• Cloud‑based data analytics platform experience in Snowflake, Databricks, or similar solutions
• AWS Certification (preferredquiler but not required)