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Data Engineer / Senior (Hedge Fund) multiple headcounts

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Data Engineer / Senior (Hedge Fund) multiple headcounts

Nicoll Curtin
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We are seeking multiple headcounts for a Data Engineer / Senior for our hedge fund client in Hong Kong office. This role offers a unique opportunity to build and scale our data infrastructure from the ground up.


The ideal Data Engineer must have a strong passion for data architecture and will be hands on in development of robust data systems to support operational and investment decisions.


If you are coming from buy side / financial services / trading environment this role is for you!

  • Based in Hong Kong (Holding HK PR / working visa / Dependent visa / Top talent visa / IANG visa)


MUST :

  • Experience in building data pipeline / data system from scratch
  • Python and AWS (PLUS)
  • Strong domain knowledge = Market risk


Candidates must have experience / understanding in

  • ClickHouse
  • Security master
  • Financial Data System
  • Data visualization tools (Tableau, PowerBI)
  • Machine learning pipelines and advanced analytics.
  • Bloomberg API or other financial market data sources.


Role :

  • Design, develop, and deploy scalable data pipelines for a multi-manager trading strategy from scratch.
  • Manage structured and unstructured data systems from various sources.
  • Implement data quality measures, monitoring systems, and anomaly detection for ongoing improvement.
  • Lead data projects and contribute to the strategic development of data engineering capabilities.


Requirements:

  • A Bachelor’s degree in Computer Science, Engineering, or a related field.
  • Strong knowledge of data modeling, ETL pipelines, and data warehousing techniques
  • Programming proficiency in Python, Scala, or Java.
  • Hands-on experience with SQL and NoSQL databases
  • Experience with big data tools such as Hadoop, Spark, Kafka
  • Familiarity with data orchestration tools like Airflow

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More Information

SalaryN/A (Search your salary info in SalaryCheck)
Job Function
Location
  • Hong Kong > Others
Work Model
  • On-site / At the workplace
Industry
Employment Term
  • Full-time
Experience
  • N/A
Career Level
  • Middle management level
Education
  • Master's degree
  • Degree

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