Power Platform Embedded Software Engineer in Kennington, gb

Energy Jobline ATTB; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

Energy Jobline ATTB is seeking an Embedded Software & Power Platform AI Engineer in London with a hybrid work setup. You will blend low-level device firmware work with Power Platform, Dataverse and AI features to connect OT with end users.

You’ll map processes, build end-to-end solutions from devices to dashboards, and ship production-grade apps and automations with strong governance and CI/CD practices.

Qualifications

• Experience in embedded software engineering with C/C++ and firmware development.
• 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.
• Experience applying AI in workflows using Copilot Studio, AI Builder, Azure OpenAI or Azure ML.
• Engineering discipline: version control, testing and CI/CD, security and governance.
• Clear communication and ability to explain technical choices to non-technical colleagues.

Responsibilities

• Work with business and operational teams to 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, Logic Apps, Functions and custom connectors.
• Work with embedded software and firmware for telemetry, device data, and interfaces between hardware and cloud.
• Apply AI to real workflows, providing anomaly detection, classification and intelligent assistants.
• Prototype quickly and iterate with users to improve adoption and impact.
• Ensure engineering standards: source control, testing, CI/CD, security and governance.
• Support go-live and measure impact in hours saved, faults reduced, and cycle times improved.

Skills

C/C++

Embedded software

RTOS

Embedded Linux

Power Platform

AI in workflows

Tools

Azure IoT Hub

Event Hubs

Logic Apps

Functions

Power Apps

Power Automate

Dataverse

Azure DevOps

GitHub

CI/CD

Copilot Studio

AI Builder

Azure ML

Job description

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 improved

What 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 xbpsjku 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)