> Markdown version of [/jobs/ext/3946969-front-end-engineer](https://www.wearedevelopers.com/jobs/ext/3946969-front-end-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Front End Engineer - **Company:** Experis - **Location:** London, UK (Remote available) - **Salary:** £70,000.0 - £95,000.0 - **Contract:** Temporary contract - **Skills:** Application Programming Interfaces (APIs), Application Integration Architecture, Automation of Tests, Big Data, Code Review, Continuous Integration, Responsive Web Design, Single Sign-On, Software Engineering, TypeScript, Highcharts, ReactJS, Snowflake, Software Application Programming, Plotly, Streamlit Framework - **Published:** October 27, 2026 - **Apply:** https://www.jobs.service.gov.uk/jobs/6ae0c6f79991b23a7bdd9783/apply ## About the Role You'll have commercial experience building complex, data rich applications, with strong engineering skills and a practical approach to usability. We're looking for: * Strong TypeScript and React skills, or experience with a comparable modern framework. * Practical experience developing applications on Snowflake, particularly using Streamlit. * Experience integrating APIs and working with large datasets. * Familiarity with charting or data grid tools such as AG Grid, Highcharts, D3 or Plotly. * Experience with automated testing and CI/CD. * An understanding of responsive design and accessibility standards. * Knowledge of role based access controls and single sign on. * The ability to translate complex requirements into clear technical designs. Experience in investment, trading or risk applications would be useful, but strong application development and usability skills are more important than financial services experience. ## Description * Build and enhance applications using React, TypeScript and Streamlit on the Snowflake platform. * Create interactive dashboards, charts and data grids that perform effectively with large datasets. * Develop tools for comparing portfolios, exploring risk and performance, and modelling different scenarios. * Integrate applications with Snowflake data, APIs and calculation services. * Work directly with users to understand requirements and improve user journeys. * Maintain quality through automated testing, code reviews and clear documentation. * Build accessibility, security and appropriate user permissions into applications. * Support releases and the transition into ongoing support.