Data Engineer III: Python + Databricks, AI-Driven Pipelines

JPMorgan Chase & Co.; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

JPMorgan Chase & Co. in London seeks a Data Engineer to design and deliver scalable data pipelines and architectures. You will work in an agile team to collect, store, and analyze data securely, enabling business functions with reliable data services.

The role emphasizes AI-assisted validation, data sensitivity awareness, and governance across the data lifecycle. The ideal candidate has solid Python, SQL, and AWS experience, plus familiarity with NoSQL and modern data platforms.

Qualifications

• Formal training or certification on software engineering concepts and 3 years applied experience.
• Good working knowledge of AWS, Databricks, and Python.
• Experience across the data lifecycle.
• Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support data engineering workflows with strong validation habits and awareness of data sensitivity.
• Ability to review and validate AI-assisted outputs before use, escalating when uncertain and following data handling requirements.
• Advanced at SQL, including joins and aggregations.
• Working understanding of NoSQL databases.
• Significant experience with statistical data analysis and ability to determine appropriate tools and data patterns for analysis.
• Utilize AWS Cloud Services for developing, deploying, and managing applications at scale.
• Good understanding and working knowledge of software development lifecycle tools used for configuration management, CI/CD pipelines, unit testing, regression testing, and performance testing.

Responsibilities

• Develop workflows and ELT pipelines using Python and Databricks.
• Uses enterprise-authorized AI capabilities within the work environment to accelerate data pipeline/design analysis and documentation, validating outputs and handling data according to sensitivity and security requirements.
• Support review of controls to ensure sufficient protection of enterprise data.
• Implement data security using entitlements frameworks.
• Update logical or physical data models based on new use cases.
• Use SQL frequently and understand NoSQL databases
• Applies reuse-first, AI-assisted practices to strengthen SDLC-quality routines for data pipelines, ensuring traceability, auditability and alignment to resiliency and security expectation.

Skills

Python

SQL

NoSQL

AWS

Databricks

Data governance

CI/CD

Education

Bachelor's degree in Computer Science or related field

Tools

Aurora Postgres

MongoDB

Git

Job description

JPMorgan Chase & Co. in London seeks a Data Engineer to design and deliver scalable data pipelines and architectures. You will work in an agile team to collect, store, and analyze data securely, enabling business functions with reliable data services.

The role emphasizes AI-assisted validation, data sensitivity awareness, and governance across the data lifecycle. The ideal candidate has solid Python, SQL, and AWS experience, plus familiarity with NoSQL and modern data platforms.