Senior Data Engineer: Python, Databricks on AWS

JPMorganChase; Greater London; On-site; GBP 55,000 - 75,000; Full time

Job summary

JPMorgan Chase is seeking a Data Engineer to design and deliver data collection and analytics solutions. You will develop reliable data pipelines, working within an agile team, to support various business functions.

The ideal candidate should have good knowledge of AWS, Databricks, and Python, with at least 3 years of experience. This role provides opportunities for career growth and collaboration with talented professionals in a dynamic environment.

Qualifications

• 3 years applied experience in software engineering concepts.
• Good working knowledge of AWS, Databricks, and Python.
• Experience across the data lifecycle.
• Advanced SQL skills, including joins and aggregations.
• Understanding of NoSQL databases.

Responsibilities

• Develop workflows and ELT pipelines using Python and Databricks.
• Support review of controls for enterprise data protection.
• Implement data security using entitlements frameworks.
• Update data models based on new use cases.
• Use SQL frequently for data operations.

Skills

AWS

Databricks

Python

SQL

NoSQL databases

Statistical data analysis

Education

Formal training or certification in software engineering

Tools

AWS Cloud Services

CI/CD pipeline tools

Job description

JPMorgan Chase is seeking a Data Engineer to design and deliver data collection and analytics solutions. You will develop reliable data pipelines, working within an agile team, to support various business functions.

The ideal candidate should have good knowledge of AWS, Databricks, and Python, with at least 3 years of experience. This role provides opportunities for career growth and collaboration with talented professionals in a dynamic environment.