Data Engineer III - Python, Databricks - Senior Associate

JPMorgan Chase & Co.; Greater London; On-site; GBP 50,000 - 75,000; Full time

Job summary

A leading financial institution is seeking a Data Engineer to shape the future of data engineering. You will design and deliver data solutions, develop pipelines, and implement data security. Our collaborative team focuses on innovation, and you will work with advanced tools such as SQL and AWS while driving the firm's data strategy. Join us to make a meaningful impact on business objectives and grow your career in a supportive environment.

Qualifications

• 3+ years of applied experience in software engineering.
• Working knowledge of AWS, Databricks, and Python.
• Understanding of both SQL and NoSQL databases.

Responsibilities

• Develop workflows and ELT pipelines using Python and Databricks.
• Implement data security using entitlements frameworks.
• Update logical or physical data models based on new use cases.

Skills

AWS

Python

Databricks

SQL

NoSQL databases

Statistical data analysis

Education

Formal training or certification in software engineering

Tools

AWS Cloud Services

Aurora Postgres

MongoDB

Job description

Are you ready to shape the future of data engineering at JPMorgan Chase? Join a dynamic team where your unique skills will help build innovative solutions and contribute to a winning culture. You’ll have opportunities for career growth, collaborate with talented professionals, and make a real impact on our business objectives. Your expertise will empower our teams and drive success across the firm.

As a Data Engineer at JPMorgan Chase within our agile team, you will design and deliver reliable data collection, storage, access, and analytics solutions that are secure, stable, and scalable.. You will develop, test, and maintain essential data pipelines and architectures, supporting various business functions to achieve the firm’s goals. Working with us, you will use your skills to drive innovation and help shape our team culture. Together, we focus on excellence, collaboration, and continuous improvement.

Job responsibilities

• Develop workflows and ELT pipelines using Python and Databricks.
• 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

Required qualifications, capabilities, and skills

• 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.
• 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.

Preferred qualifications, capabilities, and skills

• Familiarity with the Standardized data layer practices (Medallion architecture)
• Exposure to Aurora Postgres and MongoDB
• Skills in designing efficient data models including normalization, denormalization, and schema design and an understanding around relational and star schemas.