Power Platform Embedded Software Engineer

Leap29; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

Leap29 in London is seeking an Embedded Software & Power Platform AI Engineer to join hybrid work. 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

Qualifications

• Background in embedded software engineering with hands-on experience in C/C++, firmware, RTOS, microcontrollers or embedded Linux.
• Strong 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 Azure
• Practical experience applying AI or Copilot capabilities in real workflows, with a sensible view of where they help and where they don't
• Engineering discipline: version control, environment management, testing and CI/CD
• Clear communication, with the ability to run discovery sessions and explain technical choices to non-technical colleagues
• A pragmatic, ownership-driven mindset

Responsibilities

• Understand workflows, pain points and data; map current and future-state processes
• Build solutions with Power Apps, Power Automate, Dataverse and Power BI
• Connect devices and embedded systems to the Microsoft stack using Azure IoT Hub, Event Hubs and Logic Apps
• Work with embedded software and firmware for telemetry and device data
• Apply AI using Copilot Studio, AI Builder, Azure OpenAI and Azure ML for anomaly detection and intelligent assistants
• Prototype quickly and iterate based on user feedback
• Adhere to engineering standards, source control and CI/CD, with testing and governance
• Support go-live and measure impact in hours saved and cycle times reduced

Skills

Embedded software

C/C++

Firmware

RTOS

Power Platform

Azure IoT

AI in workflows

CI/CD

Data integration

Tools

Azure DevOps

GitHub

Dataverse

Job description

Embedded Software & Power Platform AI Engineer Location: London (Hybrid) The role We’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 do

• Work with business and operational teams to understand their workflows, pain points and data, and map current and future-state processes
• Build solutions with Power Apps, Power Automate, Dataverse and Power BI, such as operator apps, approvals, alerts and reporting
• Connect devices and embedded systems to the Microsoft stack using Azure IoT Hub, Event Hubs, Logic Apps, Functions and custom connectors
• Work with embedded software and firmware where needed, such as telemetry, device data, protocols and interfaces between hardware and cloud
• Apply AI where it adds real value, using Copilot Studio, AI Builder, Azure OpenAI and Azure ML for anomaly detection, classification, summarisation and intelligent assistants
• Prototype quickly, get working versions in front of users early and iterate on their feedback
• Build to engineering standards, with source control, testing, CI/CD (Azure DevOps or GitHub),
• security and governance
• Support go-live and adoption, and measure impact in hours saved, faults reduced and cycle times improved

What you'll bring

• A background in embedded software engineering, with hands-on experience in C/C++ (or similar), firmware, RTOS, microcontrollers or embedded Linux
• Strong 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 Azure
• Practical experience applying AI or Copilot capabilities in real workflows, with a sensible view of where they help and where they don't
• Engineering discipline: version control, environment management, testing and CI/CD
• Clear communication, with the ability to run discovery sessions and explain technical choices to non-technical colleagues
• A pragmatic, ownership-driven mindset

Nice to have

• Azure IoT, Edge or Digital Twins experience
• Python, C# or JavaScript for extending beyond low-code
• Industrial protocols such as MQTT, OPC UA or Modbus
• Dynamics 365 experience
• Microsoft 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)