Stand out for this role — generate a tailored resume and cover letter in about a minute.
UK Power Networks in Crawley is recruiting a Field Engineer to join the Network Operations team. You will report to the Lead Field Engineer and be responsible for delivering maintenance, capital programmes and fault work within a defined geographic area.
The role requires liaising with customers, planning resources and ensuring quality safety standards. We offer a comprehensive benefits package and a clear career path within an established utility network.
This Field Engineer will report to Lead Field Engineer and will work within Network Operations based in Crawley area. You will be permanent employee.
You will attract a salary of £56,576 - £84,160 per annum(depending on experience) per annum and a bonus of 3%.
We also provide the following additional benefits
To work as part of a team within the Crawley Network Operations area. This includes liaison with customers, network operations and control, networks planning and management of field staff and management of contractors.
You will be an important contributor to the team manage the delivery of all Maintenance, Capital Programme, Connections and Faults work within a geographical area. Together with the scheduling team, Work Planner, Field Staff Supervisor and Field Staff you will deliver an excellent service to the customer, ensuring we meet the requirements of our Guaranteed Service Standards.
All new employees appointed to the Field Engineer or Lead Field Engineers roles within Network Operations will include a contractual requirement to undertake standby for a minimum period of 20 years, or up to the age of 55 whichever comes first.
Managers and supervisors carry both legal and company responsibilities for ensuring the health and safety of their employees, those under their control and those who might be affected by the work undertaken, i.e. public, visitors and employees of other organisations. This includes briefing individuals working for them and ensuring there is the necessary understanding, competence and application of requirements to work safely and without harming the environment.
Employees will ensure they fully understand the health and safety risks involved in their work activities and their responsibility to apply the controls needed to manage those risks to acceptable levels. Similarly where work activities can have an adverse impact upon the environment, and particularly where there are legal requirements, employees will understand those impacts and the controls they must ensure are applied.
Employees need to be aware that for some craft and operational roles that work at height, or use fall arrest devices, there is an upper weight limit of 116Kg due to maximum safe working load of the safety equipment that is used.
We’re committed to creating an inclusive workplace where everyone feels welcome, valued and able to be themselves. We encourage applications from people of all backgrounds, experiences and perspectives. If you meet the essential criteria and believe your skills, experience or transferable strengths could make you a great fit for the role, we’d love to hear from you. If you need any adjustments or support during the recruitment process, please let us know and we’ll be happy to help.
We may use AI-enabled tools to support elements of our recruitment process. These tools help us manage applications more efficiently and consistently, but they do not make hiring decisions. All recruitment decisions are made by trained employees using human judgement and oversight. We are committed to using AI responsibly, fairly and transparently, in line with our legal, regulatory and ethical obligations.
Your data will be hosted within a secure environment and will only be used by UK Power Networks for the purpose of which it is intended. The data is used only as an input to provide insights for the screening process and is not retained by the model or by UK Power Networks’ contractor, shared with the contractor’s other customers or with OpenAI, or used to train or improve AI models.