Lead QA Engineer

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

Green Street is seeking a skilled and hands-on Lead Data QA Engineer to join our technology team and ensure the highest quality for our data-driven products and analytics. You’ll work closely with our data engineering team to test complex, data-heavy applications in an Agile environment, supporting our mission to deliver world-class commercial real estate intelligence. As part of the team, you’ll contribute to our data quality practices, helping build a robust and high-performing platform powered by best-in-class research, news, and data insights.

What’s it like working with our team? We’re passionate about creating high-performing Agile teams, close collaboration with stakeholders, and continuous improvement. As a Data QA Engineer, you’ll work on innovative projects, engaging with talented engineers in a transparent and supportive environment. If you’re excited about ensuring data integrity and working with sophisticated data solutions, we’d love to connect with you!

We love great engineers and are excited to get to know you better. Please share your resume today!

Responsibilities

• Collaborate with stakeholders and the technology team to ensure the timely and high-quality release of data-intensive applications.
• Drive process improvements, look critically at tooling and adjust as needed
• Mentor other QA Engineers
• Own the overall project QA lifecycle
• Work with product and business teams to build and maintain detailed test plans with comprehensive data-focused test scenarios.
• Conduct story-level, regression, performance, and security testing as necessary to support platform releases.
• Validate and verify data quality, accuracy, and integrity across datasets, ensuring consistency in production environments.
• Manage test automation execution and help resolve or escalate issues affecting test outcomes.
• Contribute to improving test automation for data validation and advocate for data QA best practices to enhance efficiency.

Requirements

• 8-10 years as a QA Engineer in data-centric environments supporting data validation and quality for high-performance platforms.
• Experience managing teams of data QA engineers and driving common best practices, tooling decisions, and overall process improvements
• Comfortable owning complete data QA projects and ensuring quality throughout the entire project testing lifecycle
• Experience with scripting (Python or shell) for data validation automation.
• Advanced SQL skills – must be able to write, analyze, and troubleshoot complex queries on SQL-based databases (MySQL, Oracle, etc.).
• Strong experience with data testing methodologies and practices, including working with large datasets and ensuring data consistency.
• Familiarity with test automation tools for data testing and experience using project management/ticketing systems like JIRA.
• Detail-oriented and quality-conscious, with a strong ability to work collaboratively and communicate effectively with engineering and business teams.

Nice-to-Haves

• Familiarity with performance testing tools and knowledge of security testing practices.
• An understanding of tools used for data visualization and data interfaces.

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

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