Join Kinewell and Help Shape the Future of Offshore Wind
Kinewell is an award-winning software company helping the world's leading offshore wind developers design, build, and operate wind farms more efficiently. Our technology reduces project costs, accelerates delivery, and supports the global transition to renewable energy.
Trusted by industry leaders including Equinor, Parkwind, and Xodus, we're growing rapidly and have been recognised with a King's Award for Enterprise for International Trade, alongside industry awards for innovation and inclusion.
At Kinewell, you'll work with talented colleagues on technology that makes a real-world impact, while enjoying the flexibility, autonomy, and career development opportunities that come with a fast-growing company.
Why Join Us?
- Fully flexible hybrid working – work when and where you work best
- Newcastle-based office for in-person collaboration
- Company performance-related bonus scheme
- Enhanced sick pay
- Professional membership support
- Railcard reimbursement
- Net Zero Bonus for employees on renewable energy tariffs
As we continue to grow, so will your career. You'll be supported to develop your skills, take on new challenges, and make a real contribution to the future of offshore wind.
Location Requirement
All Kinewell roles are based in North East England. Applicants must already be based in the region or be willing to relocate to the North East before starting employment. Relocation costs are not covered by Kinewell.
Equal Opportunities
We are proud to be an equal opportunities employer and encourage applications from people of all backgrounds. We are committed to creating an inclusive workplace and are open to flexible working arrangements wherever possible.
We know that great candidates don't always meet every requirement. If you're excited about this role and meet most of the criteria, we'd encourage you to apply.
The Role
R&D Engineer (Energy Systems Modelling): £30k - £45k, depending on skills, qualifications, and experience
Team: Technical Team (Engineering)
We are seeking an engineer, physicist or mathematician with systems modelling expertise and skills in Python programming to join our rapidly growing team.
You will work on the back-end engine code for our modelling and optimisation software solutions, to develop software features and address issues in response to internal and client requirements. As a well-rounded, flexible and an excellent team player you will develop robust algorithms that are computationally efficient. You will have a keen interest in global challenges including energy security and net-zero, and be able to engage with clients as well as internally.
You will be self-motivated, creative, and have a flair for innovation.
Key Responsibilities and Accountabilities
· Developing new products and product features in Python, including design definition and user documentation.
· Maintain and develop existing software features
· Undertake R&D activities
· Identify and scope new features and solutions that could form future R&D activities
· Maintain international company presence by participating in conferences and webinars, seeking new opportunities in areas relevant to the company
· Keep up to date with industry challenges
· Utilise our unique products and services, coupled with your own expertise, to deliver consultancy projects
The Person
Knowledge, skills and experience
Essential
· Highly competent in Python programming, including demonstrating good coding practices
· A good understanding of one or more of the following areas:
o Wind yield analysis
o Power systems modelling
o Optimisation algorithms
o Floating wind
o Mooring systems
o Marine engineering
o Cost-benefit analysis modelling
o Energy systems modelling
· A strong mathematical, engineering or physics background
· Excellent oral and written communication skills, including the ability to write specifically and concisely and the ability to communicate effectively with a range of stakeholders
Highly Desirable
· A strong understanding of model-based engineering, the required accuracy for the task in hand, and the sources of error between the real world and the model
· Proven experience in understanding and defining new software requirements
· Proven experience delivering highly uncertain collaborative R&D projects, as well as undertaking independent research
· Competent in C programming
Desirable
· Experience of other programming languages
· Proven experience in the application of data analysis or data science techniques
· Experience working with within the energy sector and in particular, offshore wind
· A good professional network with excellent rapport with relevant potential new clients
· A proven ability to write successful proposals and win new fee-earning work related to your expertise
· Experience managing, coaching or mentoring more junior staff
Attributes and Behaviour
Essential
· Display our core values of honesty, integrity, trust, fairness and pursuit of excellence
· Ability to prioritise workload to meet deadlines
· Excellent organisational skills and attention to detail
· Ability to relate well and professionally with a wide range of stakeholders
· Demonstrate a ‘can-do’ attitude and be team player
· Willing to ask for support when needed
· Ability to work independently and as part of a team
· Confidentiality, tact and diplomacy
· Commitment to self-improvement, both individually and within the team
· An understanding that working in a small, dynamic and rapidly growing company will likely mean job roles and responsibilities will evolve and change in time
Qualifications
Essential
· A STEM based degree (2:1 or above) or equivalent in a relevant subject from a highly reputable institution
· The right to work in the UK
Desirable
· Postgraduate qualification
If you think you have what it takes, but don’t necessarily meet every single point on the job description, please still get in touch and apply.
Pay: £30,000.00-£45,000.00 per year
Benefits:
- Flexitime
- Free parking
- Sick pay
- Work from home
Ability to commute/relocate:
- Newcastle upon Tyne, Tyne and Wear: reliably commute or plan to relocate before starting work (preferred)
Work authorisation:
- United Kingdom (preferred)
Work Location: Hybrid remote in Newcastle upon Tyne
