Talantix.io
Tribus•09.02.26
AI SCORE 8.5

Data Engineer for Systematic Trading - Relocation Available

$90K–$120K/year
RemoteFinTechVisaRelocation
Python•SQL•Spark•Kafka•Flink•AWS

About the Role

We are seeking a talented Data Engineer for Systematic Trading to join our team in Hong Kong. This is a unique opportunity to work with a top-tier global systematic trading firm, where you will be instrumental in building a central data platform used directly by multiple live trading desks. As a Data Engineer, you will be at the intersection of data engineering, cloud infrastructure, and quantitative research, contributing to the evolution of large-scale data pipelines that process high-volume market and trading data.

What You'll Do

  • Design and build lakehouse-style data platforms that support research, risk, and live trading use cases.
  • Develop Python-based pipelines for batch and streaming workloads.
  • Utilize Spark for large-scale processing and Kafka/Flink for real-time ingestion and stream processing.
  • Model and optimize data for high-concurrency analytical access (OLAP).
  • Operate in a cloud-native AWS environment, focusing on performance, data quality, and reliability.
  • Collaborate closely with quants and traders to deliver production-grade data solutions.

Requirements

  • 3+ years of experience building serious data platforms in production.
  • Strong proficiency in Python and SQL (C++/Rust is a plus but not essential).
  • Hands-on experience with Spark and at least one streaming technology (Kafka and/or Flink).
  • Comfortable working close to infrastructure and cloud services.
  • Autonomous, structured problem-solver who enjoys high-impact work.
  • Finance or trading exposure is helpful, but strong engineers from adjacent domains will be considered.

What We Offer

  • Relocation support to help you settle in Hong Kong.
  • Competitive salary range of $90,000 - $120,000 per year.
  • Visa sponsorship available for qualified candidates.
  • Opportunity to work in a high-impact role with real ownership and visibility into how data drives trading outcomes.
  • Collaborative and innovative work environment with a focus on engineering excellence.
Why This Job8.5 of 10

This Data Engineer role offers a unique opportunity to work in systematic trading with relocation support and a competitive salary. Join a top-tier firm and make a significant impact.

Salary Range
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Optional
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Bonus
0/1

About Tribus

Explore Tribus careers in 2026 and discover exciting job opportunities across remote, hybrid, and office roles. Utilize our advanced filters to streamline your search, tailor your resume for each application, and track your progress effortlessly. Stay informed with company insights and industry news as you navigate your career path with Tribus. Begin your journey towards a fulfilling role today!

Industry
Tech
Location
Remote

Who Will Succeed Here

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Proficient in Python and SQL with a strong understanding of data processing frameworks such as Spark and Flink, enabling efficient data manipulation and analysis for trading strategies.

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Self-motivated and disciplined, thriving in a remote work environment, with the ability to manage time effectively and meet project deadlines without direct supervision.

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Experience in cloud services, particularly AWS, with a mindset geared towards optimizing data pipelines and infrastructure for high-frequency trading applications.

Learning Resources

→The Complete Python for Data Science Coursecourse
→Apache Spark Documentationguide
→Getting Started with AWS for Data Engineersarticle

Career Path

Data Engineer for Systematic Trading(Now)→Senior Data Engineer(1-2 years)→Lead Data Engineer or Data Architect(3-5 years)

Market Overview

Market Size 2024
$25B
Annual Growth
11.5%
AI Adoption
78%
Investment in Data Solutions
+45%
Labour Demand for Data Engineers
+30%
Avg Salary for Data Engineers
$130K

Skills & Requirements

Required
PythonSQLSpark
Growing in Demand
Machine LearningData Visualization (e.g., Tableau, Power BI)Cloud Data Warehousing (e.g., Snowflake, Redshift)
Declining
Hadoop MapReducejQuery

Domain Trends

Rise of Real-Time Data Processing
With the increase in demand for real-time analytics, technologies like Apache Kafka and Flink are seeing a surge, with a projected growth rate of 22% in their adoption over the next two years.
Integration of AI in Data Engineering
78% of companies in the trading sector are investing in AI-driven data solutions to enhance trading strategies and decision-making processes.
Shift to Cloud-Native Data Solutions
Over 60% of enterprises are moving their data infrastructure to cloud platforms like AWS, leading to a 50% increase in demand for cloud-oriented data engineers.

Industry News

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