Data Engineer III — Python & Databricks Pipelines

JPMorgan Chase & Co.; Auchentibber; On-site; GBP 90,000 - 120,000; Full time

Job summary

JPMorganChase's Investment Banking Data Products team is seeking a Software Engineer III to design and deliver reliable data collection, storage, and analytics solutions that are secure, scalable, and compliant with enterprise standards.

You will develop and maintain data pipelines using Python and Databricks, review controls for data protection, and apply AI-assisted development tools to improve quality while ensuring traceability and auditability.

Qualifications

• Formal training or certification in software engineering.
• Strong Python and SQL skills with data lifecycle experience.
• Experience with cloud data services and data security concepts.
• Familiarity with SDLC tooling and AI-assisted development.

Responsibilities

• Develop data workflows and ETL/ELT pipelines to support scalable data solutions.
• Review controls to protect enterprise data across the data lifecycle.
• Implement data security using entitlement frameworks.
• Update data models based on evolving business needs.
• Apply SQL and NoSQL techniques for diverse data access patterns.
• Leverage AI-assisted development tools and ensure code quality via reviews and testing.

Skills

Software engineering basics

Python

SQL

NoSQL

Databricks

AI-assisted development

Cloud services

Security practices

SDLC tools

Education

Formal training or certification in software engineering

Tools

Databricks

AWS Glue

Federated Data Lake

Job description

JPMorganChase's Investment Banking Data Products team is seeking a Software Engineer III to design and deliver reliable data collection, storage, and analytics solutions that are secure, scalable, and compliant with enterprise standards.

You will develop and maintain data pipelines using Python and Databricks, review controls for data protection, and apply AI-assisted development tools to improve quality while ensuring traceability and auditability.