Data Engineer Intern

4 hours ago

Singapore J&D Holdings Full time

Company

J&D Holdings

Designation

Data Engineer Intern (AI & Multi-Agent Quant Systems)

Date Listed

23 Oct 2025

Job Type

Entry Level / Junior Executive, Experienced / Senior Executive
- Full/PermIntern/TS

Job Period

Immediate Start, For At Least 6 Months

Profession

Engineering

Industry

Finance

Location Name

120 Lower Delta Road, Singapore

Address

120 Lower Delta Rd, Singapore 169208

Map

Allowance / Remuneration

$1,500 - 2,200 monthly

Company Profile

We are an AI-first quantitative trading fund building a fully automated, multi-agent research and execution ecosystem for trading U.S. small-cap equities, options, and crypto markets. Our edge lies in the fusion of quant research, AI autonomy, and high-performance infrastructure.

We’re looking for a Data Engineer Intern who will help design, optimize, and scale the data systems powering our AI and trading pipelines. You’ll work directly with quant researchers, C++ developers, and AI engineers to build the foundation that enables autonomous strategy discovery and execution.

**Job Description**:
Key Responsibilities
- 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.

Application Instructions

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