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Company:
Boston Consulting Group
Location:
GB -
Canary Wharf
Posted: May 16, 2025
*Locations
• : Boston | Atlanta | Canary Wharf
Who We Are
Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.
To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.
What You'll Do
Join a dynamic team transforming our organization into a data-driven enterprise! The Data Layer Team is where we build essential data platforms, data products, and capabilities to empower our clients and colleagues with high-quality, actionable insights. Our Data Layer Team focuses on creating scalable data solutions and advancing our data infrastructure to drive informed decision-making across the company.
As a Quality Engineer on the Data Layer Team, you will play a vital role in upholding engineering and quality best practices across our data infrastructure. You will design and implement robust testing strategies to validate scalable data pipelines and ensure data accuracy, integrity, and performance across our platforms. Collaborating closely with data engineers, solution architects, product owners, and technical leads, you'll help deliver trusted data solutions that power critical business insights. This role is ideal for someone who thrives at the intersection of data and quality-someone who is passionate about ensuring that the data driving key business decisions is complete, correct, and reliable. If you're driven by data quality, engineering excellence, and the opportunity to shape an enterprise-wide data ecosystem, we'd love to have you on our team.
You're Good At
• Should have strong knowledge of manual testing & automation development.
• Experience with Agile methodology and Scaled Agile.
• Experience working with QA testing framework and tools.
• Knowledge of validating streaming data flows and asynchronous processing.
• Python scripting experience for test automation of data pipelines, API testing, and custom validations.
• Knowledge of JIRA & Zephyr tools
• Possess good understanding of Software Development Life Cycle, Testing Life Cycle & Automation test life cycle
• Good understanding of Java & Automated Testing using Selenium WebDriver, TestNG and Maven.
• Hands-on Experience in writing Test Scenarios, Test Cases, Test Execution and Defect reporting
• Various types of testing - Functional Testing, System Testing, Integration Testing and Regression Testing
• Able to execute all the test cases and report defects, define severity and priority for each defect
What You'll Bring
Education
• Bachelor's degree in IT/Electronics/Computer Science
Experience
• 6+ years of experience in Quality engineering experience with a strong focus on data layer and tag validation
• At least 3 years of experience in Automation Testing using Java or related technologies
• Strong understanding of TMS platforms (Adobe Launch, GTM, Tealium) and data layer standards (W3C, custom schemas).
• Experience testing data pipelines and infrastructure within AWS environments.
• Experience validating high-volume data pipelines, including schema validation, data quality checks, and transformation logic testing.
• Experience testing digital analytics tools like Adobe Analytics, GA4, Mixpanel, etc.
• Experience using debugging tools (Charles Proxy, Fiddler, browser DevTools).
• Experience with CI/CD tools such as Git, GHA and test automation frameworks such as BDD
• Experienced in API testing using Postman
• Experience with observability and monitoring tools such as Datadog
• Hands-on experience in test artefact creation, Test management and Defect Management testing tools
• Specific training or certifications in Quality Assurance is preferred
• Experience validating AI/ML data pipelines, models, and/or AI-augmented data solutions.
• Strong analytical and problem-solving skills with attention to detail.
Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
BCG is an E - Verify Employer. ( )(***/global/en/e-verify) for more information on E-Verify.
• : Boston | Atlanta | Canary Wharf
Who We Are
Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.
To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.
What You'll Do
Join a dynamic team transforming our organization into a data-driven enterprise! The Data Layer Team is where we build essential data platforms, data products, and capabilities to empower our clients and colleagues with high-quality, actionable insights. Our Data Layer Team focuses on creating scalable data solutions and advancing our data infrastructure to drive informed decision-making across the company.
As a Quality Engineer on the Data Layer Team, you will play a vital role in upholding engineering and quality best practices across our data infrastructure. You will design and implement robust testing strategies to validate scalable data pipelines and ensure data accuracy, integrity, and performance across our platforms. Collaborating closely with data engineers, solution architects, product owners, and technical leads, you'll help deliver trusted data solutions that power critical business insights. This role is ideal for someone who thrives at the intersection of data and quality-someone who is passionate about ensuring that the data driving key business decisions is complete, correct, and reliable. If you're driven by data quality, engineering excellence, and the opportunity to shape an enterprise-wide data ecosystem, we'd love to have you on our team.
You're Good At
• Should have strong knowledge of manual testing & automation development.
• Experience with Agile methodology and Scaled Agile.
• Experience working with QA testing framework and tools.
• Knowledge of validating streaming data flows and asynchronous processing.
• Python scripting experience for test automation of data pipelines, API testing, and custom validations.
• Knowledge of JIRA & Zephyr tools
• Possess good understanding of Software Development Life Cycle, Testing Life Cycle & Automation test life cycle
• Good understanding of Java & Automated Testing using Selenium WebDriver, TestNG and Maven.
• Hands-on Experience in writing Test Scenarios, Test Cases, Test Execution and Defect reporting
• Various types of testing - Functional Testing, System Testing, Integration Testing and Regression Testing
• Able to execute all the test cases and report defects, define severity and priority for each defect
What You'll Bring
Education
• Bachelor's degree in IT/Electronics/Computer Science
Experience
• 6+ years of experience in Quality engineering experience with a strong focus on data layer and tag validation
• At least 3 years of experience in Automation Testing using Java or related technologies
• Strong understanding of TMS platforms (Adobe Launch, GTM, Tealium) and data layer standards (W3C, custom schemas).
• Experience testing data pipelines and infrastructure within AWS environments.
• Experience validating high-volume data pipelines, including schema validation, data quality checks, and transformation logic testing.
• Experience testing digital analytics tools like Adobe Analytics, GA4, Mixpanel, etc.
• Experience using debugging tools (Charles Proxy, Fiddler, browser DevTools).
• Experience with CI/CD tools such as Git, GHA and test automation frameworks such as BDD
• Experienced in API testing using Postman
• Experience with observability and monitoring tools such as Datadog
• Hands-on experience in test artefact creation, Test management and Defect Management testing tools
• Specific training or certifications in Quality Assurance is preferred
• Experience validating AI/ML data pipelines, models, and/or AI-augmented data solutions.
• Strong analytical and problem-solving skills with attention to detail.
Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
BCG is an E - Verify Employer. ( )(***/global/en/e-verify) for more information on E-Verify.
Read the full job description and apply online on the recuiter's web-site
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