Power Systems Engineer

TN United Kingdom; Lisburn; Hybrid; GBP 40,000 - 70,000; Full time

Job summary

An innovative company is seeking a Power Systems Engineer to join their dynamic team. In this role, you'll leverage your expertise in electrical engineering to develop cutting-edge solutions for distribution network operators. You'll create and validate power systems models, design algorithms, and collaborate with a multidisciplinary team to address complex challenges. This position offers a unique opportunity to contribute to impactful projects while working in a supportive environment that values creativity and problem-solving. If you're passionate about engineering and eager to make a difference, this role is perfect for you.

Benefits

Company Pension & Life Assurance Schemes

On-site parking

Hybrid Working

Subsidised Gym Membership

Qualifications

• Strong understanding of electric power distribution and load behaviours.
• Experience in steady-state and transient power systems studies.
• Ability to communicate methodologies clearly to project teams.

Responsibilities

• Create and maintain power systems network models and documentation.
• Design and test algorithms to meet project requirements.
• Act as a subject matter expert on UK distribution power systems.

Skills

Numerical Analysis

Problem Solving

Electric Power Distribution

Engineering Mathematics

Signal Processing

Python Development

Education

Degree in Electrical Power Systems

Masters or PhD in Electrical Power Systems

Tools

PandaPower

NEPLAN

WinDebut

IPSA

PSCAD

Git

SVN

Job description

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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.

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.

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
• 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
• 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.