VP Data Engineer, Volatility Trading & Data Platform

Goldman Sachs; Hong Kong; On-site; HKD 600,000 - 900,000; Full time

Job summary

Goldman Sachs in Hong Kong is seeking an experienced Data Engineer to help grow its option trading data infrastructure. You will collaborate with trading, research and engineering to deliver data in the right shape and form to accelerate our business.

You will design and build scalable data onboarding and research workflows that permit team members to easily build and extend existing data pipelines. Your work will span the entire data lifecycle from onboarding to signal deployment.

Qualifications

• Minimum 5 years experience as a data engineer or similar role.
• Strong programming skills in Python and SQL along with modern data tools.
• A track record of strong systems thinking and ability to design systems at scale.
• Collaborative and effective at driving change as part of a team.

Responsibilities

• Work closely with trading, research and engineering to deliver data in the right shape and manner to accelerate the business.
• Design and build flexible, scalable solutions for data onboarding and research workflows that permit team members to easily build and extend existing data pipelines.
• Span the entire data lifecycle from onboarding to signal deployment.

Skills

5+ years experience

Python

SQL

Data pipelines

Systems thinking

Team collaboration

Job description

Goldman Sachs in Hong Kong is seeking an experienced Data Engineer to help grow its option trading data infrastructure. You will collaborate with trading, research and engineering to deliver data in the right shape and form to accelerate our business.

You will design and build scalable data onboarding and research workflows that permit team members to easily build and extend existing data pipelines. Your work will span the entire data lifecycle from onboarding to signal deployment.