Data Engineer III - SQL, ETL and Analytics

JPMorgan Chase & Co.; Glasgow; On-site; GBP 80,000 - 100,000; Full time

Job summary

A leading financial services firm in Glasgow is seeking a Data Engineer III to join their Risk Technology team. This role involves designing and delivering data solutions to support various business functions. The ideal candidate will have advanced SQL skills, experience with NoSQL databases, and a background in data analysis and visualization. This position offers opportunities for continuous learning and development in a dynamic and agile environment.

Qualifications

• Experience in Data Engineering across the data lifecycle.
• Advanced SQL skills required.
• Familiarity with NoSQL databases.
• Experience with statistical data analysis and data-informed decision making.
• Technical fluency in relevant platforms and tools.
• Experience in data visualization and managing vendor relations.

Responsibilities

• Review controls to protect enterprise data.
• Perform configuration changes in tools based on requests.
• Update data models based on new use cases.
• Utilize SQL and understand NoSQL database applications.

Skills

SQL

Data Extraction and Interpretation

Statistical Data Analysis

Data Visualization

NoSQL Databases

AI Automation Frameworks

Tools

Databricks

Vendor Products

Job description

As a Data Engineer III at JPMorgan Chase with in Risk Technology, 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
• Performs configuration and customization changes in one or two tools to deliver products in response to business or customer requests, and offers guidance to colleagues on 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