An opportunity has arisen for a DSO Curtailment Engineer to join the Curtailment Team within Distribution System Operator (DSO). The DSO Curtailment Team is responsible for the production of curtailment reports, publication of curtailment input data and the provision of online self‑serve tools to our customers. You will be based at either Bristol, Cardiff, Tipton or Castle Donington and reports to the DSO Curtailment Manager within the DSO System Models & Data department.
Main Responsibilities
- Conduct analysis to determine the level of curtailment for customers connected to National Grid Electricity Distribution’s network, and to provide curtailment reports
- Support the development of automated curtailment analysis tooling, ensuring it meets the needs of our customers and internal teams
- Engage with stakeholders on curtailment and be the central business subject‑matter expert, providing clear technical guidance to Field Operations and Engineering Policy
- Improve datasets available on our DSO Data Portal that enable customers to undertake their own curtailment analysis
- Collaborate with agile IT&D scrum teams to build and develop external curtailment tooling (e.g. Curtailment Estimator)
- Liaise with internal teams to ensure effective integration with business tools and processes
- Proactively work with data owners and maintainers to continually improve data quality, accuracy and system integration
Qualifications & Experience
The successful candidate should be self‑motivated, inquisitive and demonstrate clear knowledge of the principles and challenges associated with distribution network design, load management schemes (e.g. Active Network Management) and network curtailment. An electrical engineering degree or similar STEM qualification is required and evidence of the qualification certificates will be required prior to appointment. The ability to present information in a clear and reasoned way, together with an open yet analytical approach to problem solving, and good computer skills are essential to the role. The candidate will be process‑driven and focus on data quality and an ‘automate‑first’ approach to enable effective management of and development of the secondary network modelling capability. Programming and data management experience, particularly in Python and SQL, would be extremely beneficial. Proficiency with power systems & modelling techniques is highly advantageous. Understanding of the new connection process and operation of ANM systems would be very helpful. Reliable, well‑organised and able to work effectively as part of a small team while using one’s own initiative are also required.
Job Conditions
Hybrid working can only be considered once initial training is complete and subject to business need. The successful candidate may initially be appointed at a lower salary until all relevant courses and training are complete. This role is subject to a satisfactory Barring Service (DBS) check, with different levels of screening and vetting required depending on the role.
Benefits
- 26 days paid leave plus 8 bank holidays, up to 28 days with continuous service
- Competitive contributory pension scheme (double match up to a maximum of 12%)
- Annual Share Save plan
- Life insurance x4 annual salary
- Contributory private healthcare scheme for employee and family
- Support via Employee Assistance Programme, including musculoskeletal and physiotherapy services
- Free on‑site parking at all main sites
Equal Opportunities Statement
As an equal‑opportunities employer committed to diversity, equity and inclusion, we celebrate individual difference and actively bring in more employees from diverse backgrounds.
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