Data Engineer, Team Lead

Good day everyone,

We are expanding our technical teams in to Bulgaria, Sofia, so we are inviting you to come and join us in this exciting journey.

About us

Green Street Advisors, founded in 1985, is renowned for its in-depth analysis of the real estate market, particularly REITs and private real estate investments. The firm is known for providing clients with actionable insights and proprietary tools that evaluate pricing, risk, and market trends. Green Street covers sectors such as office, retail, multifamily, and industrial real estate, offering global perspectives with local expertise. Their clients include top institutional investors, and their research is often considered a gold standard in the industry, influencing major real estate transactions and investment strategies worldwide. Our comprehensive platform, proven track record, exclusive news and 35+ years of trusted insight offers a powerful solution to help market participants maximize every opportunity and drive returns.

Description

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

• 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 – additional health & live insurance, food vouchers (200 BGN) and Multisport card
• Salary & bonuses – according to the standard for 2025 in Bulgaria

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.

Thank you and lets talk.