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Salary
$53k – $140k per year (Estimated)
Location
Remote/Hybrid (London, United Kingdom)
Employment
Contractor
Overview
Company
Impact
Profile match
Octopus Energy is a UK-based energy supplier that offers innovative smart tariffs and renewable energy solutions. Known for its award-winning customer service and commitment to a greener future, Octopus Energy provides great value for the long term with prices historically cheaper than any other large supplier. As one of Europe's leading investors in renewable energy generation, the company is highly trusted, holding a five-star customer service rating.

Octopus is a rapidly growing, global energy business. We are looking for a grid analyst with a passion for understanding and designing electricity grids. This role is an exciting opportunity to use and develop superb tools to help inform our own commercial decisions as well as to help shape the energy system for participants, both in the UK and around the world.

In the 10 years since launching we have become the largest household supplier in the UK, one of the fastest growing in Europe and are scaling businesses in everything from Renewable Generation to domestic flexibility, and from domestic heat pumps to public EV charging. In total we are operating dozens of businesses in over 30 countries around the World - and we have a lot further to go.

What you'll do

  • 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

What you'll need

  • 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

  • How you’ll make an impact:

  • 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.

  • Our data platform stack:

  • 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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