Data Engineer III, Python, Databricks

JPMorgan Chase

Quick summary

Work type
On-site
Location
London, Greater London, United Kingdom
Posted
3 days ago
Nearby
63 roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $172k
$120k most similar roles pay here $225k

This listing doesn't post a salary. Most similar roles pay $134,843–$209,750.

Based on 240 similar postings.

Employer

About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 436 open roles on FindRole.

Listed pay typically runs $152,000–$215,000 across 230 roles with salary data.

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At a glance

TL;DR · Data Engineer III, Python, Databricks

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As a Data Engineer III at JPMorgan Chase within the Commercial & Investment Bank’s data engineering team, you will design and implement robust data pipelines using Python and Databricks to support various business functions. Your daily tasks include developing ELT workflows, ensuring data security through entitlements frameworks, and maintaining logical or physical data models based on evolving use cases. You’ll leverage AWS Cloud Services for scalable application deployment and utilize enterprise-authorized AI capabilities to enhance data pipeline design and documentation. This role requires expertise in SQL, NoSQL databases, statistical analysis, and a deep understanding of the software development lifecycle, including CI/CD pipelines and testing methodologies. Your work will contribute to JPMorgan Chase’s mission of driving innovation and excellence in data engineering at an enterprise level.

Skills

Python Databricks AWS SQL NoSQL CI/CD AI Medallion architecture Aurora Postgres MongoDB

What you'll do

  • Develop and maintain ELT pipelines using Python and Databricks.
  • Implement data security measures using entitlements frameworks.
  • Update logical or physical data models based on new use cases.
  • Apply AI-assisted practices to enhance SDLC-quality routines for data pipelines.
  • Validate AI-generated outputs before integration into workflows.

What we're looking for

  • Develop and maintain data pipelines using Python and Databricks.
  • Implement and review data security measures and controls.
  • Apply AI capabilities to accelerate data pipeline design and analysis.
  • Utilize AWS Cloud Services for developing, deploying, and managing applications.
  • Proficient in SQL with experience in statistical data analysis.
  • Understand and work with both relational and NoSQL databases.

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