Data Engineer III — Shape Scalable Pipelines & Analytics

J.P. Morgan; Greater London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A global financial services firm is seeking a Data Engineer to shape the future of data solutions. You will develop ELT pipelines using Python and Databricks while ensuring the integrity and security of enterprise data. The ideal candidate should have a solid background in AWS and SQL, alongside experience with NoSQL databases. This role offers a chance to collaborate with talented professionals, drive innovation, and make a significant impact in a dynamic team environment.

Qualifications

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

Responsibilities

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

SQL

AWS

NoSQL databases

Statistical data analysis

Education

Formal training or certification in software engineering

Tools

AWS Cloud Services

Aurora Postgres

MongoDB

Job description

A global financial services firm is seeking a Data Engineer to shape the future of data solutions. You will develop ELT pipelines using Python and Databricks while ensuring the integrity and security of enterprise data. The ideal candidate should have a solid background in AWS and SQL, alongside experience with NoSQL databases. This role offers a chance to collaborate with talented professionals, drive innovation, and make a significant impact in a dynamic team environment.