Power Platform Embedded Software Engineer
Embedded Software & Power Platform AI EngineerLocation: London (Hybrid)The roleWe're looking for a Power Platform Software Engineer with an embedded software mindset and the Microsoft skill set to match. You'll combine low-level engineering discipline (devices, data, real-time systems) with Power Platform and applied AI to build solutions that connect operational technology to the people who use it. You'll also work closely with the teams who depend on those systems. You'll understand how the work really gets done, map the process, and build the solution yourself, from the device or data source through to the app, workflow and dashboard.
What you'll doWork with business and operational teams to understand their workflows, pain points and data, and map current and future-state processesBuild solutions with Power Apps, Power Automate, Dataverse and Power BI, such as operator apps, approvals, alerts and reportingConnect devices and embedded systems to the Microsoft stack using Azure IoT Hub, Event Hubs, Logic Apps, Functions and custom connectorsWork with embedded software and firmware where needed, such as telemetry, device data, protocols and interfaces between hardware and cloudApply AI where it adds real value, using Copilot Studio, AI Builder, Azure OpenAI and Azure ML for anomaly detection, classification, summarisation and intelligent assistantsPrototype quickly, get working versions in front of users early and iterate on their feedbackBuild to engineering standards, with source control, testing, CI/CD (Azure DevOps or GitHub), security and governanceSupport go-live and adoption, and measure impact in hours saved, faults reduced and cycle times improvedWhat you'll bringA background in embedded software engineering, with hands-on experience in C/C++ (or similar), firmware, RTOS, microcontrollers or embedded LinuxStrong hands-on experience delivering production solutions on Microsoft Power Platform (Power Apps, Power Automate, Dataverse)Experience integrating devices, sensors or industrial systems with cloud platforms, ideally AzurePractical experience applying AI or Copilot capabilities in real workflows, with a sensible view of where they help and where they don'tEngineering discipline: version control, environment management, testing and CI/CDClear communication, with the ability to run discovery sessions and explain technical choices to non-technical colleaguesA pragmatic, ownership-driven mindsetNice to haveAzure IoT, Edge or Digital Twins experiencePython, C# or JavaScript for extending beyond low-codeIndustrial protocols such as MQTT, OPC UA or ModbusDynamics 365 experienceMicrosoft certifications (PL-200, PL-400, AZ-204, AI-102, AZ-220)Experience in [your sector, e.g. manufacturing, energy, automotive, medical devices]Process improvement background (Lean, Six Sigma)