Quant Data Engineer

2 days ago

Central Region, Singapore J&D Technology Pte Ltd Full time $80,000 - $120,000 per year

This role focuses on developing and maintaining scalable data infrastructure for high-frequency trading systems. You'll design and automate pipelines to ingest, clean, and synchronize market data (minute, tick, L2) across C++ and Python layers, while managing performance on Linux servers.

Key skills include Linux systems engineering, Python (pandas, multiprocessing, FastAPI), C++ (I/O, threading), and database management (ClickHouse/PostgreSQL). Familiarity with AI/ML tools and multi-agent frameworks is a plus.

You'll gain hands-on experience with real quant infrastructure, performance optimization, and agentic AI systems, working closely with quant and AI engineers. Strong performers can transition into full-time Data or Systems Engineer roles.

  • Data Infrastructure Development: Build and maintain scalable data pipelines for ingesting, transforming, and storing high-frequency market data (minute, tick, and L2).
  • Linux Systems Engineering: Manage and optimize processes across Linux servers (file systems, permissions, cron jobs, daemons, I/O optimization).
  • C++ Integration: Collaborate with developers to integrate C++ backtesting and data-processing modules into the broader data infrastructure.
  • Automation: Implement tools to automate data ingestion, cleaning, and synchronization across Python and C++ layers.
  • Multi-Agent Integration: Work with AI engineers to connect data pipelines into multi-agent research frameworks (feature generation, validation, and model retraining).
  • Performance Optimization: Benchmark system performance, identify bottlenecks, and improve throughput and reliability.
  • Monitoring & Validation: Build health checks and diagnostic dashboards for data quality and latency tracking.

Requirements

  • Strong knowledge of Linux systems, including shell scripting, environment setup, and process management.
  • Proficiency in C++ (data structures, file I/O, multithreading preferred).
  • Experience with Python (pandas, multiprocessing, or FastAPI) for ETL and data orchestration.
  • Understanding of databases (ClickHouse, PostgreSQL, or similar).
  • Basic familiarity with AI/ML workflows (LangChain, LLM agents, or data preparation for model training).
  • Strong understanding of data engineering principles: pipeline design, error handling, schema evolution, and versioning.
  • Interest in financial data and quantitative systems.

What You'll Gain

  • Hands-on exposure to real-world AI-driven quant infrastructure.
  • Experience working on high-frequency, multi-language systems (C++/Python/Linux).
  • Direct mentorship from quant researchers and AI engineers building next-generation agentic systems.
  • Opportunity to contribute to live research and production-grade infrastructure.
  • Pathway to a full-time Data or Systems Engineer position upon strong performance.

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