07 ago
|
Moreton Capital Partners
|
Ciudad de México
07 ago
Moreton Capital Partners
Ciudad de México
Moreton Capital Partners is a systematic commodities hedge fund preparing to launch live trading across integral 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
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
Requirements
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
Benefits
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
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📌 Data Engineer - Systematic Commodities Hedge Fund (Ciudad de México)
🏢 Moreton Capital Partners
📍 Ciudad de México