About Camlin
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 now, Camlin operates in over 20 countries worldwide.🌐
As a Power Systems Engineer in Camlin, you will work within a multi-disciplinary team of data engineers, software engineers and data scientists to deliver innovative solutions to support distribution network operators’ (DNOs) business needs. You will act as a subject matter expert on the structure and operation of the distribution network within the team, develop load and fault network models to understand the behaviour and constraints on the network, and interface with customers to understand their requirements and communicate these clearly within the team.
If you’re ready to turn complex network challenges into real‑world impact, we’d love to hear from you!
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 for network analysis, optimisation and planning, to meet project requirements, consulting appropriate literature when required.
- Analyse field and time-series 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:
- Master’s or PhD in Electrical Power Systems or Electrical/Electronic Engineering.
- Minimum 2 years of industry experience.
- Strong knowledge of the UK distribution sector (EHV, HV, LV) and power system operation/planning.
- Experience with power system analysis and at least one modelling/simulation tool (e.g., PandaPower, PowerFactory, NEPLAN, WinDebut, IPSA, PSCAD).
- Understanding of challenges related to connecting large plant and embedded generation to UK distribution networks.
- Awareness of key industry standards and relevant parts of the UK Distribution Code, including ERECs.
- Python development experience.
- Experience with signal processing for analysing sampled data.
- Good understanding of software development principles, including version control tools (Git, SVN, etc.).
Personal Attributes
- Detail-oriented with strong ownership and commitment.
- Able to work independently, in small groups, or within larger multi‑disciplinary teams.
- Capable of creating original solutions or adapting others’ ideas with proper credit.
- Driven to deliver high‑quality work within tight deadlines.
- Self‑motivated to learn new skills and improve based on constructive feedback.
- Strong verbal, written, and visual communication skills.
- Genuine interest in algorithm development, science, and engineering.
- Able to assess existing methods critically and suggest evidence‑based improvements.
Our Values
- We work together
- We believe in people
- We won’t accept the ‘way it has always been done’
- We listen to learn
- We’re trying to do the right thing
Equal Employment Opportunity Statement
Individuals seeking employment at Camlin are considered without regards to race, colour, religion, national origin, age, sex, marital states, ancestry, physical or mental disability, gender identity or sexual orientation.
