Data Engineer III – Python & Databricks

About the role

Join JPMorgan Chase’s agile data engineering team in London and help design reliable, secure, and scalable data collection, storage, and analytics solutions. You will work with cross‑functional teams to deliver data pipelines that support the firm’s business objectives.

Key responsibilities

• Develop ELT workflows and pipelines using Python and Databricks.
• Support control reviews to ensure enterprise data protection.
• Implement data security through entitlement frameworks.
• Update logical and physical data models for new use cases.
• Write and optimise SQL queries; work with NoSQL databases.

Required profile

• Formal training or certification in software engineering concepts with at least 3 years of applied experience.
• Strong working knowledge of AWS, Databricks, and Python.
• Experience across the full data lifecycle and advanced SQL skills (joins, aggregations).
• Understanding of NoSQL databases and statistical data analysis.
• Familiarity with SDLC tools, configuration management, CI/CD pipelines, and testing (unit, regression, performance).

Required skills

• Python
• Databricks
• AWS
• SQL
• NoSQL
• Aurora Postgres
• MongoDB
• Statistical analysis
• CI/CD pipelines
• Unit testing
• Regression testing
• Performance testing