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Data Engineer II - SQL,ETL and Analytics

at J.P. Morgan

Back to all Data Engineering jobs
J.P. Morgan logo
Bulge Bracket Investment Banks

Data Engineer II - SQL,ETL and Analytics

at J.P. Morgan

Mid LevelNo visa sponsorshipData Engineering

Posted 12 days ago

No clicks

Compensation
Not specified GBP

Currency: £ (GBP)

City
Glasgow
Country
United Kingdom

Data Engineer II at JPMorgan Chase to design and deliver trusted data solutions in a secure, scalable way. You will develop, test, and maintain data pipelines and architectures across multiple business functions, with a focus on SQL, NoSQL, and analytics. The role involves data extraction, interpretation, visualization, and collaborating on vendor relations to support the firm’s objectives. Works in an agile team to ensure controls protection and data quality.

Location: GLASGOW, LANARKSHIRE, United Kingdom

As a Data Engineer II at JPMorgan Chase, you serve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You are responsible for developing, testing, and maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

  • Supports review of controls to ensure sufficient protection of enterprise data
  • Responsible for making configurations/customization changes in one to two tools to generate a product at the business/customer request and advising colleagues in their requests
  • Updates logical or physical data models based on new use cases
  • Frequently uses SQL and understands NoSQL databases and their niche in the marketplace

Required qualifications, capabilities, and skills

  • Experience or equivalent expertise in Data Engineering across the data lifecycle
    Advanced at SQL
  • Working understanding of NoSQL databases
  • Demonstrated proficiency in data fluency, including experience with data extraction, interpretation, and making data-informed decisions
  • Significant experience with statistical data analysis and able to determine appropriate tools and data patterns to perform analysis
  • Developing technical fluency in relevant platforms, software tools, and technologies, with a curiosity to continuously expand technical knowledge
  • Experience in data visualization and analytics, including understanding of vendor products and managing vendor relations

Preferred qualifications, capabilities, and skills  

  • Experience with distributed databases
  • Experience with Databricks
  • Experience working with AI automation frameworks and integrating Large Language Models (LLMs) into software solutions, including prompt engineering, model evaluation, and deployment.
  • Familiarity with LLM platforms and tools (such as OpenAI, Hugging Face, or similar).
  • Experience in Test Driven Development and Acceptance Test Driven Development will be an added advantage
  • Risk Management knowledge 
  • Technical background and an understanding of the financial industry
Data Engineer II - Risk Technology

Data Engineer II - SQL,ETL and Analytics

at J.P. Morgan

Back to all Data Engineering jobs
J.P. Morgan logo
Bulge Bracket Investment Banks

Data Engineer II - SQL,ETL and Analytics

at J.P. Morgan

Mid LevelNo visa sponsorshipData Engineering

Posted 12 days ago

No clicks

Compensation
Not specified GBP

Currency: £ (GBP)

City
Glasgow
Country
United Kingdom

Data Engineer II at JPMorgan Chase to design and deliver trusted data solutions in a secure, scalable way. You will develop, test, and maintain data pipelines and architectures across multiple business functions, with a focus on SQL, NoSQL, and analytics. The role involves data extraction, interpretation, visualization, and collaborating on vendor relations to support the firm’s objectives. Works in an agile team to ensure controls protection and data quality.

Location: GLASGOW, LANARKSHIRE, United Kingdom

As a Data Engineer II at JPMorgan Chase, you serve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You are responsible for developing, testing, and maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

  • Supports review of controls to ensure sufficient protection of enterprise data
  • Responsible for making configurations/customization changes in one to two tools to generate a product at the business/customer request and advising colleagues in their requests
  • Updates logical or physical data models based on new use cases
  • Frequently uses SQL and understands NoSQL databases and their niche in the marketplace

Required qualifications, capabilities, and skills

  • Experience or equivalent expertise in Data Engineering across the data lifecycle
    Advanced at SQL
  • Working understanding of NoSQL databases
  • Demonstrated proficiency in data fluency, including experience with data extraction, interpretation, and making data-informed decisions
  • Significant experience with statistical data analysis and able to determine appropriate tools and data patterns to perform analysis
  • Developing technical fluency in relevant platforms, software tools, and technologies, with a curiosity to continuously expand technical knowledge
  • Experience in data visualization and analytics, including understanding of vendor products and managing vendor relations

Preferred qualifications, capabilities, and skills  

  • Experience with distributed databases
  • Experience with Databricks
  • Experience working with AI automation frameworks and integrating Large Language Models (LLMs) into software solutions, including prompt engineering, model evaluation, and deployment.
  • Familiarity with LLM platforms and tools (such as OpenAI, Hugging Face, or similar).
  • Experience in Test Driven Development and Acceptance Test Driven Development will be an added advantage
  • Risk Management knowledge 
  • Technical background and an understanding of the financial industry
Data Engineer II - Risk Technology