A global, merchant energy trading firm in Houston is searching for an experienced Data Engineer to support its natural gas & power trading teams. The position is part of a global Data Science and Engineering team that manages both 1) real-time market and fundamental data and 2) provides cloud-based infrastructure for the Energy Front Office including Traders, Trading Research Analysts, and Data Scientists. The collective Data Science and Data Engineering and Front-Office Teams create sophisticated statistical models and algorithms that produce predictive signals that drive trading strategy and commercial decisions.
Key responsibilities include:
Serving as SME for technical projects supporting the natural gas & power trading desks,
Building and maintaining critical data integration ETL/ELT pipelines,
Designing data models from disparate data sources,
Assisting in automating trading processes,
Implementing industry best practices, and
Communicating across multiple stakeholders in Houston, London, and Geneva.
Educational and professional requirements include:
Bachelor's degree in a STEM field that includes computer science/software engineering studies,
5+ years of experience working with Python and SQL (required),
Prior experience with ELT (Extract, Load, Transform) and ETL (Extract, Transform, Load) data integration processes,
Proficiency with AWS data stack (S3, Redshit, Glue, Lambda),
Experience with the broader energy markets is required in one OR more of the following areas: crude oil and refined product, natural gas and/or markets,
Experience in energy trading (natural gas and / or power) is highly desired,
Experience in crude oil & natural gas upstream and midstream will be considered, and
An ability to work in a fast-paced trading environment.