Metabit Technology LLC · Hong Kong; Singapore

Senior Market Data Engineer

负责全球市场数据交付与MBO数据工程

最近核查時仍有刊登最近確認刊登:2026-11-03 18:33:19.904489+00

招聘狀態可能變動,申請前請查看原始職位。

薪酬未公開
學歷未说明
語言未說明
經驗5年以上全球交易所市场/逐笔数据工程经验

來源發布日期:2026-06-12T04:13:25-04:00

工作內容

  • 负责高频市场数据端到端交付
  • 建设实时接入、历史回补和增量修复流程
  • 做交易所原始数据校验、重建与缺陷修补
  • 带领团队制定数据标准和校验规范

職位要求

  • 5年以上全球交易所市场或tick data经验
  • 精通 C++,熟悉原生 Pcap 与原始数据处理
  • 深入理解交易所市场数据结构与 MBO 重建
  • 优先具备全球衍生品/期货或 HKEX、JPX/TSE 数据经验
查看招聘來源的要求摘錄

原始資料於 2026-11-01 查閱;內容可能已更新,請查看原始職位。

Job Requirements:
5+ years of engineering experience in global exchange market/tick data. We are looking for an expert in exchange market data who possesses deep practical experience in either of the following tracks:
(a) Real-Time Connectivity Track: Proficient in multi-exchange real-time feed handler connectivity; deeply familiar with multicast, snapshot recovery, and A-B arbitrage data alignment/low-latency processing techniques.
(b) Historical Data Track: Proficient in the full historical MBO data lifecycle; hands-on experience in high-performance Pcap parser development, underlying order book reconstruction, full historical data backfilling, and high-standard data cleaning/validation.
Core Tech Stack: Expert-level C++ with exceptional capabilities in native Pcap and raw data processing; highly proficient in order book reconstruction mechanisms.
Domain Knowledge: Deeply understand the underlying market data architectures of major global exchanges; familiar with market data characteristics across different asset classes (especially global derivatives/futures); hands-on experience solving critical traps like implied order matching, contract symbol mapping, and sequence number continuity.
Preferred Qualifications
Complementary Market Experience: Deep experience in global derivatives/futures MBO data, or hands-on experience in market data processing and protocol connectivity for core APAC markets such as HKEX and JPX/TSE.
Collaborative Vendor Evaluation: Experience in evaluating data samples from international market data vendors (e.g., Pico, Databento, Maystreet, Refinitiv, Quanthouse, etc.) to assist the team with technical admission and identifying underlying data gaps/pain points.
Engineering Toolchain: Experience in building in-house high-standard sanity check or data quality monitoring frameworks; proficient in using Python for efficient data analysis and auxiliary processing.

來源:公司官网 · 資料查閱日期 2026-11-01。職位狀態及要求請以原始招聘頁面為準。