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Market Data Engineering Team Lead

BHFTHong Kong
On-site Full-time

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Experience Level

Mid to Senior

Qualifications

Minimum of 2+ years of experience in Data Engineering, with a proven track record in a leadership role. Experience in trading environments, such as high-frequency trading (HFT), systematic hedge funds, or cryptocurrency exchanges (highly desirable). In-depth knowledge of various types of market data. Proficient with streaming systems, columnar storage, and distributed computing technologies (e.g., Kafka/Redpanda, Parquet/ORC, Spark/Flink/Ray). Demonstrated ownership of data pipelines in latency-sensitive or production-critical contexts. Adept at working independently, deconstructing ambiguous challenges, and delivering clear outcomes. Excellent communication skills coupled with a leadership mindset, including mentoring, establishing standards, and documenting decisions. Nice to HaveExperience building and maintaining robust data processing infrastructure for machine learning pipelines, encompassing data preparation, feature engineering, and production data management.

About the job

Join us at BHFT as we develop a cutting-edge data platform that enhances systematic trading across over 10 global exchanges. In this pivotal role, you will lead the Data Engineering team tasked with the ingestion, processing, storage, and serving of all market, reference, and alternative data with a focus on low latency and high reliability. You will take charge of the advancement of our Feature Store, which fuels our live trading systems and research pipeline. This position offers substantial ownership and influence over our trading technology stack.

Key Responsibilities

  • Oversee the end-to-end execution of core data engineering projects, including market data platforms, real-time and batch data pipelines, feature stores, and scalable storage and processing solutions.
  • Lead and mentor the Data Engineering team; translate business and research requirements into actionable roadmaps, execution plans, and engineering standards (e.g., code quality, testing, CI/CD).
  • Manage data ingestion and processing for both live and historical datasets, defining SLAs, data quality metrics, monitoring processes, schemas, and governance.
  • Collaborate closely with researchers, product and engineering teams, as well as compliance and risk departments, to facilitate rapid experimentation and dependable production deployment.

About BHFT

BHFT is a proprietary algorithmic trading firm that manages the entire trading lifecycle—from software development to the design and implementation of trading strategies. We operate across major exchanges and a diverse range of asset classes, including equities, derivatives, options, commodities, and rates, utilizing both high-frequency (HFT) and medium-frequency (MFT) methodologies. As a team of 230 professionals with a strong emphasis on technology, where 70% of our workforce consists of engineers and technical experts, we are expanding into new markets and products. Our culture is driven by results, innovation, collaboration, and continuous improvement, supported by a globally distributed and remote-friendly team.

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