Senior Data Engineer - Build Scalable Pipelines & Analytics

Testing Site - JPMC; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

JPMorgan Chase is seeking a Data Engineer III to design and deliver scalable data pipelines and architectures. You will work within an agile team to collect, store, and analyze data securely for various business functions, driving innovation and continuous improvement.

The role emphasizes reliable data engineering practices, collaboration with skilled professionals, and contribution to the firm’s objectives through robust data solutions and scalable architectures.

Qualifications

• Formal training or certification in software engineering plus 3 years of applied experience.
• Strong knowledge of AWS, Databricks and Python.
• Experience across the data lifecycle.
• Advanced SQL skills with joins and aggregations.
• Working understanding of NoSQL databases.
• Experience with statistical data analysis and selecting appropriate data patterns.
• Use AWS for developing, deploying and managing applications at scale.
• Familiar with SDLC tools, CI/CD pipelines, unit testing, regression and performance testing.

Responsibilities

• Develop workflows and ELT pipelines using Python and Databricks.
• Support review of controls to ensure 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.

Skills

Python

Databricks

AWS

SQL

NoSQL

Data analysis

CI/CD

Data security

Data pipelines

Data modeling

Tools

Aurora Postgres

MongoDB

CI/CD tools

Databricks

Job description

JPMorgan Chase is seeking a Data Engineer III to design and deliver scalable data pipelines and architectures. You will work within an agile team to collect, store, and analyze data securely for various business functions, driving innovation and continuous improvement.

The role emphasizes reliable data engineering practices, collaboration with skilled professionals, and contribution to the firm’s objectives through robust data solutions and scalable architectures.