Smart Energy Systems Engineer

Leeds £36,000 - £39,000

Job sector

Energy, Utilities & Net Zero

Job function

Electrical Engineering

Start date

01/06/2026

Job duration

28 months

Application closing date

26/02/2026

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Job description

Supported by a comprehensive project plan and working in partnership with academics from Leeds Beckett University and the team at Zenergy, you will:

  • Work across PV, energy storage and power electronics, designing intelligent, fault tolerant system architectures and control strategies.
  • Develop scalable backend systems and integrate internal and third party platforms to support multi site operations and diverse datasets.
  • Enhance battery modelling, data handling and grid service optimisation through cloud technologies, real time analytics and embedded AI.
  • Create user friendly tools for both technical and non technical users while managing inverter communication protocols and analysing fault scenarios (e.g., Modbus, SunSpec).
  • Operate a controlled test rig for experimentation and simulated faults, and contribute to industry knowledge through documentation, training and wider collaboration.

Project description

This 28-month KTP project will focus on the design and implementation of the ZenSmart platform, embedding advanced AI and real-time data analysis to optimise the delivery of solar energy solutions through improved system efficiency, diagnostic and fault resolution. We are looking for candidates with a robust academic background, holding at least a 2:1 degree in Computer Science, Electronic/Electrical Engineering, or a closely related discipline. A higher degree in renewable energy systems, AI, or embedded systems would be advantageous.

Applicants should also demonstrate:

  • Proficiency in programming languages such as Python, JavaScript, C++, and MATLAB.
  • Strong technical writing skills, with the ability to produce clear, concise, and well-structured documentation and reports.
  • Experience with data processing pipelines, cloud platforms, and API integration.
  • Understanding of photovoltaic systems, battery storage, and power electronics.
  • Experience in AI and machine learning (ML) methods for predictive modelling.

Experience with microservices, containerisation (e.g., Docker), and communication protocols (e.g., Modbus, SunSpec) is desirable.

About the business

Zenergy Solar build and supply tailored solar and storage solutions with an emphasis on optimised battery storage and integration with the national grid, designed to maximise efficiency and reduce costs. With over 20 years’ renewable energy experience, they provide end-to-end project management, from site survey and bespoke design through to turnkey installation and ongoing maintenance.

Apply now