# Senior Market Data Engineer at Metabit Technology LLC

> Hong Kong · Senior · Data engineering · open. Source: https://alderhq.app/jobs/greenhouse%3Ametabittechnologyllc%3A4282591009 (read 2026-11-10).

## Facts (observed)

- Company: [Metabit Technology LLC](https://alderhq.app/companies/metabit-technology-llc)
- Location text: Hong Kong; Singapore; Hong Kong; Singapore
- Where it can be done from (inferred): Hong Kong (evidence: "Location: Hong Kong; Singapore; Hong Kong; Singapore")
- Posted: 2026-06-12 (151 days ago)
- First seen by alder: 2026-11-07 · last verified: 2026-11-07
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://job-boards.greenhouse.io/metabittechnologyllc/jobs/4282591009
- Skills listed (inferred): Python, C++

## Pay and sponsorship

- Posted pay: not posted

## Description (the employer's text)

Job Responsibilities

Market Data Delivery & Full Lifecycle Management: Own the end-to-end delivery of high-frequency market data for one or more core market lines. Lead the entire pipeline construction, including real-time feed handler connectivity, full-scale historical data backfilling, and incremental data patching to ensure high efficiency for quantitative research and trading execution.

Exchange Data Guarding: Leverage a profound understanding of market microstructure and raw exchange data to accurately identify and conquer structural anomalies (e.g., CME Implied Orders, dynamic symbol mapping, sequence number gaps, timestamp/price precision alignments) during the design and validation phases. Ensure early convergence of data defects across both realtime and historical stages.

New Market Connectivity & Protocol Adaptation: Spearhead the MBO level market data connectivity, micro-protocol parsing, and standardized adaptation for global new markets and new trading systems.

High-Standard Validation & Data Patching: Construct multi-dimensional, multi-granular cross-validation frameworks (e.g., MBO vs. TAQ/Snapshot, Raw Pcap vs. Normalized Data). Lead the process from raw Pcap to MBO order book reconstruction, gap/packet drop identification, and high-quality incremental recovery.

Team Empowerment & Standards Setting: Guide junior engineers and drive team talent development (Mentorship). Distill and establish team-level sanity check rules, high-frequency data engineering best practices, and standardized delivery whitepapers.

### 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.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Ametabittechnologyllc%3A4282591009 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.