Senior Market Data Platform Engineer – HFT / Quant Trading

Hytech; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

Hytech is seeking an experienced Senior Market Data Platform Engineer in Singapore to design, build, and optimize high‑performance data infrastructure for quantitative research, trading, and execution.

The role focuses on real‑time data processing, large‑scale data management, and robust data pipelines, involving Tick Data, Order Book, Trade Data, and Reference Data. Collaboration with quant researchers and traders is essential.

Qualifications

• Bachelor’s degree or above in Computer Science, Software Engineering, Mathematics, or related technical discipline.
• 5+ years of relevant experience in Data Platform/Market Data Engineering or Real-Time Data Systems.
• Hands-on experience designing and building data platforms from scratch (0-to-1).
• Strong data ingestion, cleansing, normalization, data modeling, and data quality management.
• Experience with high‑throughput, real‑time pipelines and large datasets.

Responsibilities

• Design, build, and optimize scalable market data platforms and real‑time infrastructure for research, trading, and execution.
• Develop and maintain high‑throughput data pipelines for real‑time market data and related datasets.
• Own end-to-end data ingestion, cleansing, normalization, validation, storage, and distribution with data quality in mind.
• Design and optimize database architecture and data models for large‑scale real‑time and historical datasets.
• Build and enhance data processing frameworks, monitoring, and data quality controls.
• Collaborate with researchers, traders, and execution teams to meet data needs and improve usability.
• Identify bottlenecks, optimize latency and throughput, and ensure platform scalability and stability.
• Contribute to the architecture and ongoing development of the trading data platform.

Skills

Data platforms design

Real-time data processing

Distributed processing

Python

Java

Scala

Flink

Spark

Kafka

ClickHouse

StarRocks

Iceberg

HBase

Database architecture

Data modeling

Education

Bachelor’s degree or above in CS/SE/Math

Tools

ClickHouse

StarRocks

Iceberg

HBase

Python

Java

Scala

Flink

Spark

Kafka

Job description

We are looking for an experienced Senior Market Data Platform Engineer to design, build, and optimize high-performance data infrastructure supporting quantitative research, trading, and execution.

This role requires strong hands-on experience in building data platforms from the ground up, with expertise in real-time data processing, database architecture, data integration, and large-scale data management.

You will work closely with Quant Researchers, Traders, and Engineering teams to develop scalable, reliable, and efficient data solutions that support both real‑time trading activities and historical quantitative research.

We are particularly interested in candidates from buy-side quantitative trading, proprietary trading, HFT, systematic investment firms, or other high‑performance data engineering environments.

Key Responsibilities

• Design, build, and optimize scalable market data platforms and real‑time data infrastructure supporting quantitative research, trading, and execution.
• Develop and maintain high‑throughput data pipelines for real‑time market data, including Tick Data, Order Book, Trade Data, Reference Data, and other trading‑related datasets.
• Own end‑to‑end data ingestion, cleansing, normalization, validation, storage, and distribution to ensure data accuracy, consistency, and reliability.
• Design and optimize database architecture, data models, and storage solutions to support large‑scale real‑time and historical datasets, ensuring efficient data retrieval and query performance.
• Build and enhance data processing frameworks, monitoring mechanisms, and data quality controls to improve platform performance and operational efficiency.
• Work closely with Quant Researchers, Traders, and Execution teams to understand data requirements and develop solutions that improve data accessibility, usability, and processing efficiency.
• Identify and resolve data processing bottlenecks, optimize system latency and throughput, and ensure platform scalability and stability.
• Contribute to the overall architecture and continuous development of the firm’s quantitative trading data platform.

Qualifications & Requirements

• Bachelor’s degree or above in Computer Science, Software Engineering, Mathematics, or a related technical discipline, with at least 5 years of relevant experience in Data Platform Engineering, Market Data Engineering, Quant Data Infrastructure, or Real‑Time Data Systems.
• Proven hands‑on experience designing and building data platforms from scratch (0-to-1), including real‑time data pipelines, distributed processing systems, and large‑scale data infrastructure.
• Strong expertise in data ingestion, cleansing, normalization, data modeling, and data quality management, with experience handling complex, high‑volume datasets.
• Solid knowledge of database architecture and optimization, with hands‑on experience in technologies such as ClickHouse, StarRocks, Iceberg, HBase, or other high‑performance databases.
• Strong programming skills in Python, Java, Scala, or similar languages, with practical experience in real‑time data processing frameworks such as Flink, Spark, Kafka, or equivalent technologies.
• Good understanding of quantitative trading workflows and how market data supports research, strategy development, and execution. Experience in buy‑side quantitative trading, proprietary trading, HFT, or systematic investment firms is highly preferred.
• Excellent communication and presentation skills, with proficiency in both English and Chinese to effectively engage regional Chinese‑speaking stakeholders.