Senior Automation QA Engineer
Summary
Build and run automated tests for data-heavy commercial real-estate analytics platforms, validating data integrity and accuracy with Python, SQL, and test automation tools.
Position Overview
Green Street is seeking a skilled and hands-on 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!
Job Responsibilities
- Collaborate with stakeholders and the technology team to ensure the timely and high-quality release of data-intensive applications
- 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
Candidate Profile
- 5-7 years of experience as a Data QA Engineer, demonstrating a deep mastery of data validation and quality assurance. We actively celebrate diverse professional journeys and value candidates with equivalent expertise from non-traditional backgrounds.
- Testing experience with Internal and External API's. 5+ Years
- 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
- Collaborative and communicative, with a keen eye for detail and the ability to work effectively across diverse teams and communication styles
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
- Schema & Structure Testing
- Data Quality & Integrity Testing
- Pipeline Functional Testing (Python/Airflow)
- Volume & Reconciliation Testing
- Great Expectations tools
Compensation, Benefits and Work Authorization
In addition to a base salary, this position is eligible for a performance bonus and benefits (subject to eligibility requirements). Total compensation is based on several factors including, but not limited to, type of position, location, education level, work experience, and certifications. This information is applicable for all full-time positions.
Green Street will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in Bulgaria without the need for visa sponsorship now or in the future.
The current offer:
Health & life insurance - company-provided medical and dental insurance
Food vouchers - 102 EUR
Multisport card - access to sports and relaxation facilities
25 days paid annual leave - because we believe in a real work-life balance
Hybrid working model - 3 days per week (Tuesday–Thursday) in our Sofia office and 2 days remote
Working hours - 11:00am-8:00pm on office days (with flexibility on leaving time), 9:00am-6:00pm EEST on remote days
Company Overview and EEOC/Diversity
Green Street is a forward-thinking real assets company at the forefront of transforming the commercial real estate market with cutting-edge predictive analytics, data-driven insights, and actionable intelligence. With over 40 years of expertise, Green Street empowers investors, lenders, banks, and industry stakeholders across the U.S., Canada, Europe and Asia to make optimized investment and strategic decisions. To learn more, please visit www.greenstreet.com.The success of Green Street is directly attributable to the strength of our people. 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 are celebrated and valued.Green Street is an Equal Opportunity EmployerGreen 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.