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Data Engineer III - Data Science/AI

J.P. Morgan
Glasgow
1 month ago
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Overview

Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.

As a Data Engineer III - Data Science at JPMorgan Chase within the Corporate Data & Analytics Services Team, you will play a key role as an experienced member of an agile team, focusing on designing and delivering reliable data collection, storage, access, and analytics solutions that are secure, stable, and scalable. Your responsibilities include developing, testing, and maintaining essential data pipelines and architectures across diverse technical areas within various business functions, all in support of the firm's business objectives.

Responsibilities
  • Supports review of controls to ensure sufficient protection of enterprise data
  • Advises and makes custom configuration changes in one to two tools to generate a product at the business or customer request
  • Updates logical or physical data models based on new use cases
  • Frequently uses SQL and understands NoSQL databases and their niche in the marketplace
  • Adds to team culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
  • Formal training or certification on Data Science concepts and proficient applied experience
  • Bachelor\'s or Master\'s degree in Data Science, Computer Science, Statistics, or a related field
  • Applied experience in the data science domain
  • Experience across the data lifecycle
  • Advanced at SQL (e.g., joins and aggregations)
  • Working understanding of NoSQL databases
  • Significant experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis
  • Experience customizing changes in a tool to generate product
Preferred qualifications, capabilities, and skills
  • Databricks professional experience.
  • Contribute to MCP, Agentic AI and Generative AI solutions.
  • Contribute to the continuous improvement of data science methodologies and best practices.
  • Stay up-to-date with the latest advancements in data science and machine learning technologies.


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