Junior Data Engineer/Architecture

Key Responsibilities

• Build and maintain data pipelines for ingesting futures market data from multiple sources (exchange feeds, vendors, internal systems).
  
  
• Design and improve data models and structures to store historical and intraday futures prices across multiple asset classes.
  
  
• Implement logic to roll futures contracts based on configurable rules.
  
  
• Develop tools to stitch together contract-level data into continuous time series, handling edge cases (e.g. holidays, partial rolls, gaps).
  
  
• Ensure data quality and integrity via validation checks, exception handling, and alerting.
  
  
• Work with Quant Researchers to deliver clean, backtest-ready datasets that match trading and strategy assumptions.
  
  
• Document technical processes and support other teams with data usage and integration.
  
  

Requirements

• 1–3 years of experience in a data engineering, quant research, or backoffice data role.
  
  Fresh graduates with relevant experience are welcome.
  
  
• Solid programming skills in Python (e.g., pandas , numpy , datetime , etc.)
• Good understanding of futures markets and contract structures (e.g., expiries, rollovers, front-month logic).
  
  
• Familiarity with data versioning, time series databases, or data lakes.
  
  
• Experience working with APIs, flat files, or vendor feeds (e.g., Bloomberg, ICE, CME, Refinitiv).
  
  
• Strong attention to detail and ability to work with messy or inconsistent datasets.