Negotiable
Undetermined
Hybrid
London, Greater London, South East, England
Summary: This role is for a Senior Python Engineer with strong business-facing skills at a Global Energy Trading Company. The position focuses on delivering high-performance market data solutions that support trading strategies and analytics. It requires a blend of technical expertise and business acumen, working closely with traders and stakeholders. The role is hybrid, combining elements of engineering, trading, and data analysis.
Key Responsibilities:
- Design, build and optimise real-time and historical market data pipelines in a cloud-native environment
- Develop Python-based data services and analytical functions supporting research and live trading
- Work closely with traders and stakeholders to translate business requirements into production-ready solutions
- Analyse complex financial datasets to improve strategy performance and client analytics
- Evaluate, onboard and integrate third-party market data products and feeds
- Ensure data quality, performance, and high availability of critical trading data
Key Skills:
- 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 development skills 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
Salary (Rate): undetermined
City: London
Country: England
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other
Exciting Contract Opportunity for a hands-on Python 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.
This is a hybrid technical and business facing role, sitting at the intersection of engineering, trading and data.
Key Responsibilities:
Design, build and optimise real-time and historical market data pipelines in a cloud-native environment
Develop Python-based data services and analytical functions supporting research and live trading
Work closely with traders and stakeholders to translate business requirements into production-ready solutions
Analyse complex financial datasets to improve strategy performance and client analytics
Evaluate, onboard and integrate third-party market data products and feeds
Ensure data quality, performance, and high availability of critical trading data
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 development skills 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
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