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This job expired on 28/09/2026. It no longer accepts applications.
Senior Data Engineer – Short-Term Power Markets
Employeur non precise · London
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
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