DSO Engineer

National Grid; Hemington; Hybrid; GBP 55,000 - 85,000; Full time

Job summary

National Grid Electricity Distribution is seeking a DSO Engineer to help maintain and develop offline power system models, supporting strategic network planning and regulatory compliance.

The role offers hybrid working with initial training and opportunities to work across multiple NGED licence areas, applying Python, SQL and data analytics to improve modelling and automation workflows.

Qualifications

• Strong knowledge of power system modelling principles and data analysis.
• Experience with technical datasets and scripting to automate workflows.
• Ability to communicate complex technical information clearly and work in a team environment.

Responsibilities

• Maintenance and development of offline power system models and datasets.
• Provision of power system analysis software to support network planning and analysis.
• Development and support of tools for semi-automated network planning and data insights.
• Development of modelling capability with scenario planning, forecasting and regulatory alignment.
• Compute specialist datasets to support regulatory and industry obligations.
• Collaborate with internal/external stakeholders to share modelling expertise.

Skills

Power system modelling

Data analysis

Python

SQL

Pandas

Automation

Jira

GitLab

PSS E

IPSA

Sincal

PowerFactory

Communication

Tools

PSS E

IPSA

Sincal

PowerFactory

Electric Office

EMU

ADMS

CROWN

Jira

GitLab

Job description

Job Introduction

An exciting opportunity has arisen for a DSO Engineer within the Primary System Models and Data team in the Distribution System Operator (DSO). This role can be based at any of our main offices in Bristol, Cardiff, Castle Donington or Tipton.

The Primary System Models and Data team plays a critical role in enabling the transition to a smarter, more flexible electricity network. We are responsible for developing and maintaining National Grid Electricity Distribution's (NGED) offline power system models and analysis platforms covering the 132 kV to 11 kV network. Our work supports strategic network planning, operational decision-making, innovation and regulatory compliance through the application of advanced modelling, data analysis and software development techniques.

The successful candidate will join a highly skilled and collaborative team of engineers, data analysts and software developers working across all four NGED licence areas . This is an excellent opportunity to work at the forefront of distribution system operation, helping to shape the future of the electricity network while developing expertise in power systems, data analytics and engineering software solutions.

The successful candidate may initially be appointed on a lower salary until all relevant training is completed.

Main Responsibilities

• Maintenance and development of offline power system models, including detailed electrical information, equivalent networks and supporting datasets.
• Provision of modern power system analysis software, such as PSS®E, IPSA and PowerFactory to support effective network planning and strategic analysis
• Development and support of new and existing analysis tools to support semi-automated network planning, strategic analysis, network insights and calculation of specialist datasets.
• Development of internal modelling and analysis capability including use of scenario-based planning, energy forecasting and network security compliance assessment.
• Calculation of specialist datasets to support regulatory, Grid Code and industry obligations
• Provision and analysis of technical data between NGED and both internal and external stakeholders
• Liaise with internal teams to provide modelling expertise and advice, improve ways of working and embed business efficiency.

Ideal Candidate

As part of our hybrid working approach this role offers a mix of office and home working. Hybrid working can only be considered once your initial training is complete and subject to business need.

You will be a self-motivated individual with a strong understanding of power system modelling principles and a genuine interest in using data, software and engineering analysis to solve complex network challenges. Experience of working with technical datasets and developing scripts, tools and automation solutions would be highly beneficial.

You will be able to communicate technical information clearly and effectively, with a structured and analytical approach to problem solving. Strong computer literacy, attention to detail and a commitment to data quality are essential. The successful candidate will embrace an automate-first mindset, seeking opportunities to improve efficiency and deliver lasting business value.

Experience of power system analysis software such as PSS®E, IPSA, Sincal or PowerFactory would be advantageous. Knowledge of scripting and programming languages, particularly Python, DPL or IPL, would also be highly desirable. In addition, experience of data interrogation, manipulation and analysis using SQL, Microsoft Access and Pandas would be beneficial.

You will be reliable, well organised and comfortable working within a geographically distributed team. Strong IT skills are essential, and experience of NGED systems such as Electric Office, EMU, ADMS, CROWN, Jira and GitLab would be advantageous, although full training will be provided where required.

National Grid Electricity Distribution is committed to safeguarding the interests of the Company, colleagues and customers.This role is subject to a satisfactory Barring Service, (DBS) check, depending on the role different levels of screening and vetting are required. Some roles require a triannual check.

About Us

We’re National Grid Electricity Distribution (NGED), the owner and operator behind the electricity distribution systems for the Midlands, the Southwest of England and South Wales. Serving communities of more than 8 million people, our expert teams deliver heat, light and power for homes and businesses.

National Grid employs over 29,000 people worldwide. We are building an inclusive workplace, a place to actively celebrate the cultures, personalities and preferences of our colleagues - who in turn help to build the success of our business and reflect the diversity of the communities we serve. Our vision is to be at the heart of a clean, fair and affordable energy future and we are doing this in a fast-moving industry with an increasing focus on tackling climate change, exploring new energy sources that are renewable, low carbon, and improve efficiency to meet demand.