Senior Data Engineer : Energy Trading Exchanges : KDB : Q

Company: Eaglecliff Recruitment
Apply for the Senior Data Engineer : Energy Trading Exchanges : KDB : Q
Location: Greater London
Job Description:

Exciting Contract Opportunity for a hands‑on Data Engineer with strong business‑facing skills to join a Global Energy Trading Company.

The role will involve delivering high‑performance market data solutions that directly support trading strategies and pre‑ and post‑trade analytics.

The candidate must have at least 3 years of professional experience using of kdb and building indicators and backtesting frameworks using Q language.

This is a hybrid technical and business facing role, sitting at the intersection of engineering, trading and data.

Key Responsibilities:

  • Evaluating, onboarding, and integrating complex data products from diverse vendors, serving as a key technical liaison to ensure data feeds meet the stringent requirements for research and live trading
  • Build and maintain high‑performance tick data pipelines for ingesting, processing, and storing large volumes of market data
  • Providing expert operational support for the data pipelines, diagnosing and resolving issues to ensure uninterrupted flow of high‑availability data powering trading activities
  • Implement robust data validation, monitoring, and error handling to ensure data integrity and uptime
  • Collaborate with trading and engineering teams to define data requirements and deliver production‑grade solutions

Experience:

  • Experience using Databricks, Iceberg, ADF, Kafka and Cosmos DB
  • 8+ years’ experience in Commodity Trading & Capital Markets / Investment Banking
  • Strong understanding of global futures exchanges and the full exchange‑traded derivatives lifecycle
  • 5+ years working with large‑scale market, order/execution, and positions data
  • Proven experience with real‑time market data platforms, feed handlers, and consolidated feeds
  • Strong Python Experience with solid SQL and scripting (PowerShell/Bash)
  • Experience with time‑series databases (KDB, OneTick) and Parquet‑based storage
  • Comfortable operating as a technical SME and business analyst in a trading‑room environment

Please telephone for an immediate response or email your CV for a quick response.

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Posted: April 10th, 2026