Senior Python Engineer & Trading Data Analyst (Hybrid)

Eaglecliff; City Of London; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A global energy trading company in London seeks a hands-on Python Engineer with strong business-facing skills. This hybrid role requires designing and optimizing real-time market data solutions that support trading strategies. The ideal candidate should have 8+ years in Commodity Trading and experience with tools like Databricks and Kafka. Work involves collaborating with traders to deliver data services and analyzing financial datasets. The position offers an energetic environment at the intersection of engineering and trading.

Qualifications

• 8+ years’ experience in Commodity Trading & Capital Markets.
• Proven experience with real‑time market data platforms.
• 5+ years working with large‑scale market and positions data.

Responsibilities

• Design, build and optimise real-time market data pipelines.
• Develop Python-based data services for trading.
• Analyse complex financial datasets to improve strategy performance.

Skills

Python development skills

Strong business-facing skills

Strong SQL and scripting (PowerShell/Bash)

Experience with Databricks

Experience with Kafka

Experience with Cosmos DB

Understanding of global futures exchanges

Experience with time-series databases

Tools

Databricks

Kafka

Azure Data Factory (ADF)

Cosmos DB

KDB

OneTick

Job description

A global energy trading company in London seeks a hands-on Python Engineer with strong business-facing skills. This hybrid role requires designing and optimizing real-time market data solutions that support trading strategies. The ideal candidate should have 8+ years in Commodity Trading and experience with tools like Databricks and Kafka. Work involves collaborating with traders to deliver data services and analyzing financial datasets. The position offers an energetic environment at the intersection of engineering and trading.