Location
Remote/Hybrid (Manchester, United States)
Overview
Company
Impact
Profile match
Matillion is a Manchester software company founded in 2011 that builds data integration tooling for cloud warehouses. Its platform loads and transforms data into Snowflake, Databricks and other systems with a visual pipeline builder. The company became one of the north of England's first technology unicorns and sells worldwide.
At Matillion, we are moving beyond traditional data processing to define the future of the AI Data Automation Platform. Our mission is to make data "AI-ready" at the speed of thought, centred around Maia - our autonomous AI data engineering foundation.
As a Frontend Engineer, you will build the interfaces that make that mission real, using React and an agentic-first mindset - working alongside AI tools like Claude not as a shortcut, but as an essential partner in how you engineer. You will own high-visibility features, act as a skilled validator of AI-generated code, and help set the bar for what "production-ready" means on our team.
This is a hybrid role based in Manchester, UK, with minimum 2 days a week in the office.
What you will be doing
- Build production React and TypeScript components for Maia and Maia Teams - clean, readable, built for your teammates to extend.
- Run an agentic-first workflow: use GenAI tools daily to handle the repetitive work, so your time goes on architecture and hard logic.
- Act as the human-in-the-loop - review, refactor and harden AI-suggested code against our security and performance bar.
- Break epics into shippable increments and keep a steady flow of value through CI/CD.
- Shape front-end architecture with your squad - component patterns, state management, the calls that outlast a single sprint.
What we are looking for
- Professional experience shipping production React applications, with testable, well-documented code.
- Daily hands-on use of AI coding tools, paired with the judgement to critically validate every output rather than trust it blind.
- A structured, systematic approach to diagnosing and fixing issues in a frontend service.
- Strong grasp of modern web security and self-documenting code practices.
- Comfort across the full SDLC - Agile, CI/CD, version control - in a live production environment.
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