Software Engineer

An opportunity to join a high-growth product engineering team building a sophisticated platform used by major enterprise clients to monitor, analyse, and optimise complex physical environments at scale.

This is not your typical front-end role. The work centres around data-rich applications, where you’ll be solving real problems through intuitive UI, real-time insights, and high-performance visualisation.

You’ll be working closely with backend engineers, data specialists, and product teams to deliver features that translate complex datasets into meaningful, user-friendly experiences.

Key Responsibilities

• Build and maintain modern, scalable web applications
• Develop intuitive dashboards for both real-time and historical data
• Translate complex data into clear, actionable UI/UX
• Integrate front-end components with APIs and backend servicesOptimise performance for data-heavy, high-throughput applications
• Collaborate across engineering, product, and data teams
• Contribute to design systems and front-end best practices

Skills & Experience

• Experience with modern frameworks (React preferred, Angular or Vue also considered)
• Solid understanding of HTML5, CSS3, and responsive design
• Experience integrating with RESTful APIs
• Proven experience building data-heavy applications or dashboards
• Familiarity with data visualisation libraries (e.g. D3.js, Chart.js, ECharts)
• Experience working in Agile environments

(These are strong indicators of fit, but not essential)

• Experience working on platforms with real-time or streaming data
• Exposure to sensor, telemetry, or event-driven systems
• Experience working alongside data engineering or data science teams
• Familiarity with cloud environments (Azure preferred)
• Experience with performance optimisation in high-scale applications
• Understanding of accessibility standards (WCAG)

Why This Role?

• Work on a genuinely interesting product, not generic web builds
• High-impact engineering in a data-driven, real-world environment
• Strong collaboration across engineering and data disciplines
• Opportunity to shape how complex data is visualised and consumed

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