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Senior Data Engineer – Short-Term Power Markets

Employeur non precise · London

Senior 🇬🇧 English
Python Pandas NumPy SQL relational databases ETL ELT AWS Snowflake

Job description

About the role

We are seeking a Senior Data Engineer to join our Data Science & Technology team in London, supporting the Intraday Short-Term Power business. The role focuses on building and maintaining high‑performance, real‑time data pipelines that power systematic trading, analytics and risk management in a fast‑paced energy trading environment.

Key responsibilities

  • Design, develop and optimise real‑time data feeds from market data, grid operations, weather providers and internal trading systems.
  • Build robust ETL/ELT pipelines capable of handling millions to billions of records daily.
  • Ensure data availability, quality and performance to support signal generation, back‑testing and model validation workflows.
  • Write highly optimised SQL queries and manage relational database structures.
  • Collaborate closely with traders, data scientists and infrastructure teams to deliver reliable data solutions.

Required profile

  • 5–10 years of data engineering experience, ideally within intraday short‑term power trading or similar real‑time energy markets.
  • Strong understanding of systematic trading workflows and the ability to operate in a high‑frequency, intraday environment.
  • Demonstrated experience handling large time‑series datasets and tight feedback loops.

Required skills

  • Advanced SQL and relational database expertise.
  • Proficiency in Python, Pandas and NumPy.
  • Extensive experience building ETL/ELT pipelines.
  • Exposure to AWS and Snowflake technologies.
  • Familiarity with short‑term power market data sources such as EPEX, ENTSO‑E or Nord Pool.

What we offer

  • Competitive base salary plus performance‑based bonus.
  • Generous benefits including parental leave, comprehensive medical/dental/insurance coverage, and retirement plans.
  • Charity volunteering allowance and matching contributions.
  • Tuition assistance, reimbursement and continuous learning opportunities.

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Employeur non precise

London