Data Engineer - Systematic Commodities Hedge Fund
About this role
Data Engineer - Systematic Commodities Hedge Fund
Moreton Capital Partners is a systematic commodities hedge fund preparing to launch live trading across global futures markets. Our research and trading systems rely on robust, scalable data infrastructure. We are looking for Data Engineers to help us design, build, and optimize that infrastructure alongside senior engineers and the CIO.
Key Responsibilities
You’ll work on projects such as:
- Designing and maintaining data pipelines to collect, clean, and transform market and alternative datasets (e.g., futures, options, weather, satellite, fundamentals).
- Building ETL workflows using Python (pandas/polars) and orchestration tools such as Airflow or Prefect.
- Structuring data warehouses and APIs (SQL, Snowflake, or similar) for efficient query and analysis.
- Developing data quality and monitoring systems for latency, completeness, and integrity.
- Assisting in cloud deployments (AWS, Docker) and automation for data ingestion and versioning.
- Collaborating with Quant Researchers to make research datasets reproducible and production-ready.
- Contributing to internal documentation and code standards to ensure long-term maintainability.
- Strong programming skills in Python and familiarity with SQL.
- Understanding of data structures, algorithms, and software engineering best practices.
- Interest in large-scale data systems, cloud computing, or distributed processing.
- Self-starter with curiosity and attention to detail.
Bonus points for:
- Experience with Airflow, Docker, or AWS.
- Familiarity with Snowflake, Polars, or Pandas workflows.
- Exposure to financial or time-series data.
- Understanding of CI/CD, version control, or testing frameworks.
- Real-world impact: Help build data systems that directly feed institutional-grade trading research and live execution.
- Technical depth: Gain hands-on experience with distributed data pipelines, cloud infrastructure, and production data engineering.
- Mentorship: Work closely with senior engineers, the CIO, and Quant Researchers on live projects.
- Collaborative culture: Inclusive, high-trust team that values initiative and learning.
- Compensation: Competitive stipend/salary based on experience.
Frequently Asked Questions
Is the salary disclosed for the Data Engineer - Systematic Commodities Hedge Fund position at 3SNaJrk7c1gh9FfwEKuZtL?
The salary for this Data Engineer - Systematic Commodities Hedge Fund role at 3SNaJrk7c1gh9FfwEKuZtL is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Data Engineer - Systematic Commodities Hedge Fund position at 3SNaJrk7c1gh9FfwEKuZtL located?
This Data Engineer - Systematic Commodities Hedge Fund role at 3SNaJrk7c1gh9FfwEKuZtL is based in Mexico City, Mexico City, Mexico. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Data Engineer - Systematic Commodities Hedge Fund role at 3SNaJrk7c1gh9FfwEKuZtL full-time or part-time?
This is listed as a Full time position. It is posted as a Data Engineer - Systematic Commodities Hedge Fund role at 3SNaJrk7c1gh9FfwEKuZtL.
How do I apply for the Data Engineer - Systematic Commodities Hedge Fund position at 3SNaJrk7c1gh9FfwEKuZtL?
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When was the Data Engineer - Systematic Commodities Hedge Fund job at 3SNaJrk7c1gh9FfwEKuZtL posted?
This Data Engineer - Systematic Commodities Hedge Fund position at 3SNaJrk7c1gh9FfwEKuZtL was posted on Feb 19, 2026. Apply as soon as possible — early applications are often reviewed first.
Data Engineer - Systematic Commodities Hedge Fund
3SNaJrk7c1gh9FfwEKuZtL
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