Python Data Engineer - Global EnergyTech Market Leader

Python Data Engineer - Global Energy Tech Market Leader

Senior Python Data Engineer, Energy and Commodities

This role supports a global energy and commodities organization that operates at massive scale, combining trading, analytics, and long term infrastructure investment. The technology teams build and maintain data systems that power decision making across markets, assets, and research, working closely with commercial and analytical stakeholders.

This is a full time, on site position based in Houston, Texas, with in office collaboration required five days per week.

As a Python Data Engineer, you will play a key role in expanding and maintaining high quality data assets that support advanced analytics and trading workflows. You will work directly with traders, analysts, researchers, and data scientists to understand requirements and deliver reliable, well structured data solutions.

The role offers deep exposure to real world business problems, complex data sources, and a highly collaborative engineering culture that values clean code, shared standards, and practical impact.

• Building modular, reusable Python components that connect external data sources with internal tools and databases.
• Partnering with business stakeholders to define requirements for data ingestion, transformation, and access.
• Translating business needs into well designed technical solutions.
• Maintaining a clean, centralized Python codebase while aligning with established design patterns and conventions.
• Contributing to shared developer tooling and internal Python based ETL frameworks.
• Collaborating efficiently with a distributed global engineering team.
• Participating in an internal Python development community and supporting evolving business initiatives.

• Seven or more years of professional experience developing Python applications in an enterprise environment.
• A degree in computer science, information systems, or a closely related discipline.
• Hands on experience designing and building data pipelines and data engineering solutions.
• Experience extracting data from external sources using web scraping techniques and automation tools.
• Strong experience with relational databases, including Oracle and PL SQL development with stored procedures.
• A solid understanding of object oriented programming, design patterns, and service oriented architectures.
• Previous experience working in Agile or Scrum based development teams.
• Proficiency with version control, peer code reviews, and issue tracking workflows.
• Working knowledge of data analysis libraries such as Pandas and Num Py.
• Strong written and verbal communication skills.
• Background in the energy or commodities sector is preferred.
• Exposure to containerization technologies such as Docker or Kubernetes is a plus.

This role is based in a professional office setting designed for close collaboration. The business operates in a fast paced, high energy environment where in person interaction is central to how teams work, solve problems, and deliver results.