Power Systems Engineer

Company Description:

Camlin is a global technology leader that operates with the vision of bringing revolutionary products to life for a wide range of industries, including power and rail, and also has interests in a number of R&D projects in a variety of scientific sectors.

At Camlin we believe in high quality engineering and design, allowing us to develop market leading products and services. In short, we love creating value for our customers by solving difficult problems. As of today, the Camlin operation spans over 20 countries across the globe.

Responsibilities:

• Create, validate and maintain power systems network models, alongside documentation of associated methodologies, where required.   

• Design, develop, document and test robust, efficient and novel algorithms to meet project requirements, consulting appropriate literature when required. 

• Analyse field data to validate, troubleshoot and enhance the models and algorithms. 

• Act as a subject matter expert on UK distribution power systems within multidisciplinary project teams. 

• Communicate methodologies clearly to the teams responsible for their implementation. 

• Manage time and priorities across projects, notify stakeholders of progress against plans and adapt readily to dynamic business priorities 

Essential Criteria:  

• Degree in Electrical Power Systems/Electrical/Electronic Engineering or equivalent numerate discipline. 

• Strong understanding of electric power distribution, electrical load behaviours, and the modelling of time-series demand/distributed generation patterns.  

• Experience of performing steady-state, and/or transient power systems studies, e.g. load flow, short-circuit fault analysis and/or switching studies.   

• Strong and proven numerical analysis skills, engineering mathematics and statistics. 

• Proven ability to solve complex problems using creative solutions. 

Desired Criteria: 

• Masters or PhD in Electrical Power Systems/Electrical/Electronic Engineering. 

• At least 2 years’ industry experience. 

• Solid knowledge of the UK distribution sector, including EHV, HV and LV levels.  

• Experience of power systems analysis, including working knowledge of one or more power systems network modelling and simulation packages, e.g. PandaPower, NEPLAN, WinDebut, IPSA, PSCAD, etc.  

• Familiarity with the contemporary challenges that face prospective connections of large plant and embedded generation to UK distribution networks.  

• An awareness of pertinent industry standards and/or key aspects of the Distribution Code for the UK, including Engineering Recommendations (ERECs). 

• Background of Python development 

• Experience of signal processing techniques used to condition and analyse sampled signals 

• A good understanding of the principles of software development, with practical experience of version management tools such as Git, SVN or equivalent.  

Personal Attributes 

• Conscientious individual demonstrating attention to detail along with high levels of ownership and commitment. 

• To have the ability to work alone, in close collaboration with one or two others, or as part of a larger multi-disciplinary team. 

• Ability to generate their own novel solutions or to use, adapt and give credit to others’ solutions when appropriate. 

• Motivation to create high quality products and systems within demanding time-scales. 

• Demonstrate self-motivation to develop new skills and improve own working practices based on constructive feedback from peers. 

• Excellent verbal, written and graphical communication skills. 

• A genuine passion for algorithm development, science and engineering. 

Our Values:

• We work together
• We believe in people
• We won’t accept the ‘way it’s always been done’
• We listen to learn
• We’re trying to do the right thing

Benefits:

• Competitive salary
• Company Pension & Life Assurance Schemes
• On-site parking
• Hybrid Working
• Subsidised Gym Membership

EQUAL EMPLOYMENT OPPORTUNITY STATEMENT

Individuals seeking employment at Camlin are considered without regards to race, colour, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, gender identity, or sexual orientation.