Are you passionate about leading a team of skilled engineers in a fast-paced, innovative FinTech environment? Green Street is seeking an experienced Lead Data Engineer to manage and mentor a team dedicated to designing and building robust data pipelines and architecture for the Commercial Real Estate (CRE) industry. You’ll oversee the development of advanced data solutions, integrating both public and proprietary data from diverse sources to create comprehensive data products and insights for our clients and internal research teams.
Why join Green Street? We’re a highly collaborative, Agile-driven team committed to engineering excellence, leveraging the latest technologies, and continuously optimizing our data infrastructure. As a leader on our team, you’ll have the opportunity to guide data engineers and QA engineers, shape Green Street's data solutions, and work closely with cross-functional teams to deliver meaningful impact within the CRE space.
We love great engineers, and we are excited to get to know you better. Please share your resume today!
Responsibilities
Lead and manage a team of data engineers and data QA engineers, fostering a collaborative and high-performance culture.
Design and develop robust data ingestion, ETL processes, and ensure data integrity and high availability
Document and manage data models, schema designs, and ER diagrams, ensuring a well-architected and scalable data structure.
Oversee the development and maintenance of data architecture, optimizing for performance and reliability.
Collaborate with research and product teams to enhance our analytical capabilities and streamline workflows.
Conduct analysis on large, aggregated datasets (e.g., demographic, geographic, GIS/spatial)
Coordinate effectively with both onshore and offshore development teams, ensuring alignment and meeting project objectives.
Requirements
We are highly selective – candidates should possess the following:
A Bachelor’s degree in Computer Science / Engineering or comparable experience.
10+ years of experience in data engineering, with at least 3 years in a leadership role managing engineering teams.
Advanced proficiency in Python (8+ years) and experience with relational databases (MySQL, PostgreSQL, etc.).
Prior experience with Git and Agile methodologies.
Strong expertise in data architecture, ETL processes, and data pipeline management.
Proven ability to design and optimize database schemas for complex data domains.
Experience with cloud platforms, particularly AWS (Amazon RDS, Containers). Willingness and desire to keep up with new cloud technologies, languages, standards, and practices.
Strong problem-solving skills, excellent communication abilities, attention to detail, and a commitment to continuous learning and improvement.
Ability to work independently in a fast-paced, agile environment.
Ability to collaborate effectively with a remote team.
Ability to overlap 3-4 hours with the U.S. West Coast to participate in team discussions and lead cross-time-zone collaboration.
Nice to have
Prior knowledge of finance, Real Estate, mathematics, or GIS / spatial data is a plus.
Experience with data quality best practices and automated data validation processes.
The current offer:
Hybrid working model - 3 days per week in our office at Polygraphia Office Center, Sofia, Bulgaria, 2 days per week - home office
Working hours – 11 am – 8 pm EEST ( 3 days/week for the first 6-12 months) – you need to work with our West Coast US tech team. 9 am - 6 pm (2 days/week)
Social benefits – now we have only additional health insurance – we’re new to Bulgaria, so give us time to create the best package for you
Salary & bonuses – according to the standard for 2024 in Bulgaria
Green Street provides preeminent and actionable commercial real estate research, news, data, analytics, and advisory services in the U.S. and Europe. For more than 35 years, Green Street has delivered unparalleled intelligence and trusted data on the public and private real estate markets, helping investors, banks, lenders, and other industry participants optimize investment and strategic decisions. The firm delivers exclusive market information, conclusion-driven insights, and predictive analytics through a SaaS platform. The company is headquartered in Newport Beach with offices in New Jersey, New York and London. To learn more, please visit www.greenstreet.com.
The success of Green Street is directly attributable to the strength of our people. We attract high-quality applicants due to our reputation for excellence and our commitment to train and retain talent. Our collaborative work environment provides team members with opportunities to develop professionally and play a central role from day one. At Green Street, we are all about providing unique insights. A diverse and inclusive work environment where top talent can thrive, think freely and offer different perspectives makes our insights even stronger. We’re building a company culture where differences in gender, race, age, religion, ethnicity, identity, physical ability and perspectives are celebrated and valued.
Green Street is an Equal Opportunity Employer
Green Street does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Financial Services, Commercial Real Estate, and Information Technology & Services
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