Senior Data Engineer: Build Global Pipelines (Python/AWS)

NLS Executive Search; Hong Kong; On-site; HKD 420,000 - 660,000; Full time

Benefits offered by this job

Competitive base salary + bonus

Global exposure

Job summary

NLS Executive Search is recruiting a Senior Data Engineer for a leading global hedge fund in Hong Kong. You will design, build, and optimize data pipelines to support analytics and trading strategies, using Python, SQL, and AWS.

Join a fast-paced environment with opportunities for growth, competitive base plus bonus, and exposure to global markets and data platforms. The role emphasizes data quality, security, and scalable infrastructure.

Qualifications

• Bachelor's in Computer Science or related discipline.
• Minimum of 3+ years of experience in data engineering or a related field.
• Proficiency in Python and SQL; experience with data modeling is a big plus.
• Familiarity with AWS services (e.g., S3, Redshift, Lambda).
• Strong problem-solving skills and attention to detail.

Responsibilities

• Design and implement scalable data pipelines to process large datasets.
• Develop and maintain ETL processes using Python and SQL.
• Utilize AWS services to deploy and manage data infrastructure efficiently.
• Ensure data quality, integrity, and security across all systems.

Skills

Python

SQL

Data modeling

AWS

Education

Bachelor's degree in Computer Science or related discipline

Tools

S3

Redshift

Lambda

Job description

NLS Executive Search is recruiting a Senior Data Engineer for a leading global hedge fund in Hong Kong. You will design, build, and optimize data pipelines to support analytics and trading strategies, using Python, SQL, and AWS.

Join a fast-paced environment with opportunities for growth, competitive base plus bonus, and exposure to global markets and data platforms. The role emphasizes data quality, security, and scalable infrastructure.