Senior Market Data Platform Engineer – HFT / Quant Trading

Hytech; Hong Kong; On-site; HKD 900,000 - 1,500,000; Full time

Job summary

Hytech is seeking a senior Market Data Platform Engineer in Hong Kong to design and optimize high-performance data infrastructure for quantitative research, trading and execution. You will work close to the trading business and ensure data is available, low latency, and reliable.

You will own ingestion, cleansing, normalization, storage and distribution of market data, including real-time feeds, tick data, order book data and historical datasets, collaborating with Quant Researchers and Traders.

Qualifications

• 5+ years of experience in Market Data, Trading Data Platforms, Quant Data Infrastructure, or high-performance Data Engineering.
• Strong preference for buy-side, HFT, proprietary trading, quantitative hedge funds, or systematic trading firms.
• Deep hands-on experience with market data, including real-time feeds, tick data, order book data, trades and historical datasets.
• Experience in data cleansing, normalization, data quality management and large-scale database/data platform optimization.
• Knowledge of DB design from a trading/data-user perspective, not only infrastructure implementation.
• Understanding of quantitative trading workflows and data’s role in research, strategy, execution and analytics.
• Excellent communication and presentation skills in English and Chinese.

Responsibilities

• Design and optimize market data platforms and databases for quantitative research, trading and execution.
• Build and maintain pipelines for real-time/live market data (tick, order book, trades, reference).
• Own data ingestion, cleansing, normalization, validation, storage and distribution.
• Work with large-scale historical and real-time datasets, optimizing architecture, latency and accessibility.
• Collaborate with Quant Researchers, Traders and Execution teams to translate trading requirements into scalable data solutions.
• Evaluate data quality, identify gaps or anomalies and improve accuracy and usability of market data.
• Contribute to the evolution of the firm’s buy-side trading data platform.

Skills

Market data

Trading data platforms

Quant data infrastructure

High-performance data engineering

Real-time data processing

Job description

We are looking for a senior Market Data Platform Engineer to build and optimize high-performance data infrastructure supporting quantitative research, trading, and execution. This role sits close to the trading business and requires a strong understanding of how market data is consumed—not just how databases are built.

We are particularly interested in candidates from buy-side quantitative trading, proprietary trading, HFT, or systematic investment firms, rather than traditional banking environments.

Key Responsibilities

• Design and optimize market data platforms and databases supporting quantitative research, trading, and execution.
• Build and maintain pipelines for real-time/live market data, including tick, order book, trade, reference, and other trading-related datasets.
• Own data ingestion, cleansing, normalization, validation, storage and distribution to ensure high-quality and reliable datasets.
• Work with large-scale historical and real-time datasets, optimizing database architecture, query performance, latency and data accessibility.
• Partner closely with Quant Researchers, Traders and Execution teams to understand how data is used and translate trading requirements into scalable data solutions.
• Evaluate data quality, identify gaps or anomalies and develop processes to improve the accuracy and usability of market data.
• Contribute to the architecture and evolution of the firm’s broader buy-side trading data platform.

Requirements

• 5+ years of relevant experience in Market Data, Trading Data Platforms, Quant Data Infrastructure, or high-performance Data Engineering.
• Strong preference for experience within buy-side, HFT, proprietary trading, quantitative hedge funds, or systematic trading firms.
• Deep hands‑on experience with market data, including real-time feeds, tick data, order book data, trades and historical datasets.
• Strong experience in data cleansing, normalization, data quality management and large‑scale database/data platform optimization.
• Strong database architecture knowledge, with the ability to contribute to DB design from a trading/data‑user perspective, not only infrastructure implementation.
• Good understanding of quantitative trading workflows and how market data supports research, strategy, execution and trading analytics.
• Excellent communication and presentation skills, with proficiency in both English and Chinese to effectively engage regional Chinese‑speaking stakeholders.

Ideal Profile

Someone currently working as a Senior Market Data Engineer / Market Data Platform Engineer / Quant Data Engineer / Trading Data Platform Lead / Head of Data Engineering within a strong buy-side or HFT environment, who understands both the engineering side and how traders/quants actually consume the data.