Power Platform Embedded Software Engineer

In this role you will blend embedded software discipline with the Microsoft Power Platform and AI to connect devices to people. You’ll map workflows, build end-to-end solutions from device data to apps, dashboards and automations, and work with cross-functional teams. You’ll implement telemetry and real-time data integration, apply AI for anomaly detection and intelligent assistants, and ship with CI/CD and governance. London hybrid, directly impacting operations and efficiency.

• Map current and future-state processes with business/operational teams
• Build solutions using Power Apps, Power Automate, Dataverse and Power BI (operator apps, approvals, alerts, reporting)
• Connect devices/embedded systems to Microsoft stack (Azure IoT Hub, Event Hubs, Logic Apps, Functions, custom connectors)
• Work with embedded software/firmware (telemetry, device data, hardware-cloud interfaces)
• Apply AI in workflows using Copilot Studio, AI Builder, Azure OpenAI, Azure ML for anomaly detection and classification
• Prototype rapidly and iterate on user feedback
• Adhere to engineering standards: source control, testing, CI/CD, security, governance
• Support go-live, adoption, and measure impact (hours saved, faults reduced, cycle times improved)

• Embedded software engineering background (C/C++, firmware, RTOS, microcontrollers, embedded Linux)
• Hands-on production experience on Microsoft Power Platform (Power Apps, Power Automate, Dataverse)
• Azure integration experience (devices/sensors/industrial systems to cloud)
• Practical AI experience in real workflows (Copilot, AI Builder, Azure OpenAI, Azure ML)
• Engineering discipline: version control, environment management, testing, CI/CD
• Clear communication to non-technical stakeholders
• Ownership-driven, pragmatic mindset

• Clear communication
• Discovery session facilitation
• Ownership mindset
• Power Apps
• Power Automate
• Dataverse