Senior Python & Databricks Engineer — Data Pipelines & AI

JP Morgan Chase; Glasgow; On-site; GBP 62,000 - 102,000; Full time

Job summary

JP Morgan Chase in the United Kingdom is seeking a data engineering professional to design and implement scalable ETL pipelines using Python and Databricks. The role involves ensuring data security, governance, and robust data models to support enterprise analytics.

The ideal candidate will have strong SQL, familiarity with NoSQL, and experience with AI-assisted development tools. A cloud-based data services background and Medallion architecture exposure are desirable assets.

Qualifications

• Formal training or certification on software engineering concepts.

Responsibilities

• Develop workflows and ETL pipelines using Python and Databricks to support scalable data solutions.
• Review controls to protect enterprise data across the data lifecycle.
• Implement data security using entitlements frameworks to safeguard sensitive information.
• Update logical and physical data models based on evolving use cases and requirements.
• Apply SQL expertise with complex joins and aggregations, and NoSQL knowledge to support diverse data access patterns.
• Promote AI-assisted practices to improve data pipelines’ quality, traceability, and security.

Skills

Python

SQL

NoSQL

Databricks

AI/ML awareness

Data modeling

Security

Tools

Git

CI/CD tools

AI coding assist tools

Job description

JP Morgan Chase in the United Kingdom is seeking a data engineering professional to design and implement scalable ETL pipelines using Python and Databricks. The role involves ensuring data security, governance, and robust data models to support enterprise analytics.

The ideal candidate will have strong SQL, familiarity with NoSQL, and experience with AI-assisted development tools. A cloud-based data services background and Medallion architecture exposure are desirable assets.