
Job description
Lead a team of data engineers and data QA engineers, designing and developing robust data ingestion, ETL processes, and ensuring data integrity and high availability. Oversee the development and maintenance of data architecture, optimizing for performance and reliability.
Manage a team, design and develop data pipelines, document data models, collaborate with research and product teams, conduct analysis on large datasets, and coordinate with development teams.
10+ years of experience in data engineering, leadership role, advanced proficiency in Python, experience with relational databases, Git, Agile methodologies, and cloud platforms.
Company

Finance • Real Estate • Tech, Software & IT Services
Green Street is a leading provider of independent research, data, analytics, and advisory services to the commercial real estate and infrastructure sectors. Established in 1985, the company equips investors and industry professionals across the globe – including the U.S., Canada, Europe, Asia, and Australia – with the critical insights needed to navigate complex markets and make informed decisions. Green Street’s core offerings encompass in-depth market research, proprietary data, predictive analytics, and expert consulting, covering areas such as REITs and broader commercial real estate (CRE). The firm differentiates itself through forward-looking analysis and a commitment to delivering actionable intelligence, fostering confident investment strategies for its diverse client base.
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