Data Engineer - Commodities - Quant Trading

Paragon Alpha - Hedge Fund Talent Business; Greater London; On-site; GBP 75,000 - 110,000; Full time

Job summary

Paragon Alpha is seeking a Data Engineer in London to build out the research infrastructure and data platforms for our European Gas desk as we expand.

You will work with Python, AWS, ETL and Airflow to manage time series and market data, interfacing with PMs and traders to ensure bespoke software solutions for a tier-one hedge fund. The role offers exposure to systematic trading development and a flat structure where developers team with PMs and traders.

Qualifications

• Experience building data platforms and research infrastructure.
• Exposure to commodities or energy markets desirable.
• Strong knowledge of time series data and market data.
• Experience with trading data pipelines is a plus.

Responsibilities

• Develop data pipelines to support the European Gas desk.
• Collaborate with PMs and traders to tailor data tooling.
• Maintain scalable ETL processes and data quality.

Skills

Python

AWS

ETL

Airflow

Job description

We are seeking a Data Engineer in London to build out the research infrastructure and data platforms for our European Gas desk as we expand.

They need someone with exposure to commodities (Power/Energy/Gas), who is technically well versed in systematic trading development, and analysis data-sets (time series, market-data).

Stack: Python, AWS, ETL, Airflow

The team has a flat structure, where developers are interfaced with PMs and traders to ensure the software systems created are bespoke.

If you're looking to join a tier one hedge fund, and gain excellent exposure to systematic trading, then please do apply.