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Moreton Capital Partners
Posted 6mo ago

Data Engineer - Systematic Commodities Hedge Fund

Moreton Capital Partners
Mexico City, Mexico, Mexico
OnsiteFull Time
Responsibilities
  • Design pipelines
  • Build ETL
  • Structure data
Requirements
  • Strong Python and SQL
  • Knowledge of data structures
  • Algorithms, and software engineering best practices
  • Interest in large-scale data systems
  • Cloud computing, or distributed processing
Technical tools mentioned
PythonSQLAirflowDockerAWSSnowflakePolarsPandas

Job description

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.

About Moreton Capital Partners

A systematic hedge fund trading commodities using machine learning.

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