Power Grid Analyst (Data Centres and Industrials)
Octopus EnergyLondon (GB), United Kingdom
Contract
Posted September 18, 2026
£27k - £29k· Est.
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Job Description
Octopus is a rapidly growing, global energy business.
Key Responsibilities
- Grid assessment: Map, analyze and model grids across various markets. Analyze and provide insights to inform capex strategy, prioritising non-wire solutions.
- Techno-economic and electrical power flow modeling to define optimal mix of resources against specific objectives (grid constraints, peak profile, LOLE, LCOE etc.)
- Technical assessment of solutions for grid quality and stability issues, with a focus on non-wire solutions (flexibility and BESS).
- Grid development plans: support the team in reviewing and designing grid investment plans or Integrated Resource Plans, for technical sign-off.
- Interconnection: Analyse grid constraints and provide insights on grid connection queues.
- Interest in expanding into commercial modelling
Requirements
- Strong background in energy systems. Or an educational background in electrical engineering or power system modeling
- Advanced power flow modelling expertise (PSCAD, PSSE, PowerFactory, PandaPower) and knowledge of non-linear optimization. Ability to run or develop deterministic physics based grid modeling tools.
- Knowledge of linear, economic modelling, e.g. plexos, is a plus.
- Experience with DERs, medium and high voltage grids and utility-scale energy projects.
- Deep understanding of energy economics and grid infrastructure principles, enjoys generating insights from large and complex sets of energy data and metrics.
- Enjoys starting things from scratch, pro-actively look (and find) data, and iterating quickly
- Natural curiosity and passion for all things grid and the energy transition
- Inquisitive and seek to really understand the question – on top of your technical skills you seek to understand the true requirements of a problem and approach the answers with a business and user mindset.
- Excellent technical communicator – you are not only a talented individual contributor but you also enjoy and excel at presenting your results to a non‑technical audience as a clear narrative.
- Favour simplicity – you prefer to use simple, reliable tools over complex frameworks or approaches.
- Collaborative – you’ll be taking inputs from and providing outputs to many teams around the group.
- Proactive – much of work will be unguided as you develop the tools and capabilities to answer businesses questions.
- Python as our main programming language.
- Databricks as our data lake platform.
- Kubernetes for data services and task orchestration.
- Terraform for infrastructure.
- Streamlit for data applications.
- Airflow purely for job scheduling and tracking.
- Circle CI for continuous deployment.
- Parquet and Delta file formats on S3 for data lake storage.
- Spark for data processing.
- DBT for data modelling.
- SparkSQL for analytics.
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