Senior Data Engineer - Global Liquid Markets (Public Markets)
Core
Design and run automated, high-performance data pipelines on Snowflake and AWS to bring market and vendor data into the platform reliably and at scale, developing data models that power analytics for real investment decisions.
Role type
Senior hands-on IC data engineer
Builds
Automated data pipelines and scalable data models
Domain
Financial services / Public Markets / Cloud Data Engineering
Deliverable
production ML models
Required skills
Snowflake, AWS, data engineering languages, general programming languages, layered systems architectures, agile data engineering, AI tools for engineering, unit testing, regression testing
Preferred skills
AI-powered data engineering, agentic AI, mentoring, code reviews, engineering best practices
Technologies
Snowflake, AWS
Responsibilities
Design and run automated, high-performance data pipelines; Develop and enhance data models behind scalable products; Implement testing practices including unit tests and regression testing; Use AI to speed up pipeline building, testing, and operations; Mentor engineers and participate in code reviews; Collaborate with Product Owner and stakeholders to refine requirements
Seniority
Senior, hands-on IC
