Energy Analytics Engineer - Trading & Operations

Axle Energy Limited

Greater London

Hybrid

GBP 75,000 - 200,000

Full time

5 days ago
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Benefits offered by this job

Equity
Hybrid work
Dog-friendly office
Parental leave
Bi-annual retreats

Job summary

Axle Energy Limited is seeking an Analytics Engineer to own and optimise the rhythms at the heart of our business in the UK energy trading and flexibility markets. You will run daily operations, review settlements, and ensure our clients and end customers are paid accurately for the flex they deliver.

You'll work closely with engineering and commercial teams, build data pipelines, and develop a deep understanding of source data, while operating in a fast-moving environment with hybrid office 2-3

Qualifications

  • Strong SQL and Python skills for analysing data
  • Analytical ability to discuss MW, kWh, and £
  • Motivation to combat climate change
  • Ability to operate in fast-moving, ambiguous environment

Responsibilities

  • Owning operations for our UK energy trading (e.g. daily trading processes, reviewing settlements)
  • Debugging complex edge cases across our trading, asset registration and settlement processes
  • Identifying risks to revenue and delivery and proactively mitigate them
  • Communicating insights and actions clearly to engineering and commercial teams
  • Building and maintaining relationships with key stakeholders in Distribution System Operators (DSOs) and UK market regulators

Skills

SQL
Python
Data analysis
Energy markets

Job description

Axle Energy Limited is seeking an Analytics Engineer to own and optimise the rhythms at the heart of our business in the UK energy trading and flexibility markets. You will run daily operations, review settlements, and ensure our clients and end customers are paid accurately for the flex they deliver.

You'll work closely with engineering and commercial teams, build data pipelines, and develop a deep understanding of source data, while operating in a fast-moving environment with hybrid office 2-3

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