Full-Stack Data Product Engineer - AI Analytics on Fabric

SF Technology Partners; Warrington; Hybrid; GBP 65,000 - 90,000; Full time

Benefits offered by this job

Bonus

Job summary

SF Technology Partners in Warrington is seeking a Full Stack Data Product Engineer to build data-driven apps in a modern Microsoft Fabric environment, crossing the gap between data and software to deliver practical solutions used across the business.

You will design and develop user-facing data applications with React, TypeScript, and Fabric, integrating analytics, AI and workflows to empower commercial and operational decision-making.

Qualifications

• Designing and developing modern, user-facing data applications using Microsoft Fabric, React and TypeScript.
• Building data products that combine analytics, visualisation, workflows and AI capabilities.
• Working with Microsoft Fabric Apps to develop scalable, secure and maintainable applications.
• Integrating applications with APIs, analytical models, data services and wider enterprise systems.
• Working closely with Data Engineers, Analytics Engineers and business stakeholders to turn requirements into practical digital solutions.

Responsibilities

• Develop reusable components and application patterns to support future product development.
• Apply strong UX principles to ensure applications are intuitive and designed around how users work.
• Implement software engineering best practices including Git, automated testing, code reviews and CI/CD.
• Mentor developers and support technical design decisions to improve development standards.

Skills

React

TypeScript

APIs

UX principles

Data visualization

Data-driven applications

Tools

Microsoft Fabric

Git

CI/CD

Automated testing

Job description

SF Technology Partners in Warrington is seeking a Full Stack Data Product Engineer to build data-driven apps in a modern Microsoft Fabric environment, crossing the gap between data and software to deliver practical solutions used across the business.

You will design and develop user-facing data applications with React, TypeScript, and Fabric, integrating analytics, AI and workflows to empower commercial and operational decision-making.