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- Tasks: Join our Data Layer Team to ensure data quality and implement testing strategies for scalable data solutions.
- Company: BCG is a global leader in business strategy, helping clients transform and thrive since 1963.
- Benefits: Enjoy a collaborative work environment with opportunities for growth and innovation in a diverse team.
- Why this job: Be part of a dynamic team shaping data-driven decisions that impact businesses globally.
- Qualifications: 6+ years in Quality Engineering with strong automation skills and experience in data layer validation.
- Other info: Remote work options available; we value diversity and are an Equal Opportunity Employer.
The predicted salary is between 43200 - 72000 £ per year.
Locations: Boston Atlanta London
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.
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Global IT Quality Engineer Senior Specialist - Data Layer employer: Boston Consulting Group
Contact Detail:
Boston Consulting Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Global IT Quality Engineer Senior Specialist - Data Layer
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as JIRA, Selenium WebDriver, and AWS. Having hands-on experience or even a solid understanding of these tools can set you apart during discussions.
✨Tip Number 2
Network with current or former employees of BCG, especially those in the Data Layer Team. They can provide insights into the company culture and expectations, which can be invaluable during your interview.
✨Tip Number 3
Prepare to discuss your experience with Agile methodologies and how you've implemented quality assurance practices in past roles. Be ready to share specific examples that demonstrate your problem-solving skills and attention to detail.
✨Tip Number 4
Stay updated on the latest trends in data quality and testing, particularly in relation to AI/ML data pipelines. Showing that you're proactive about learning can impress interviewers and demonstrate your passion for the field.
We think you need these skills to ace Global IT Quality Engineer Senior Specialist - Data Layer
Some tips for your application 🫡
Tailor Your CV: Make sure to customise your CV to highlight your experience in quality engineering, particularly focusing on data layer and tag validation. Emphasise your skills in manual testing, automation development, and any relevant tools you've used.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data quality and engineering excellence. Mention specific projects or experiences that demonstrate your ability to design and implement robust testing strategies.
Highlight Relevant Experience: In your application, clearly outline your experience with Agile methodologies, QA testing frameworks, and any specific tools like JIRA, Selenium WebDriver, and Postman. This will show that you have the necessary background for the role.
Showcase Problem-Solving Skills: Provide examples of how you've tackled challenges in previous roles, especially those related to data accuracy and integrity. Highlight your analytical skills and attention to detail, as these are crucial for the position.
How to prepare for a job interview at Boston Consulting Group
✨Showcase Your Technical Skills
Be prepared to discuss your experience with manual testing, automation development, and the specific tools mentioned in the job description, such as JIRA, Selenium WebDriver, and Python. Highlight any relevant projects where you've successfully implemented these skills.
✨Demonstrate Your Understanding of Data Quality
Since this role focuses on data quality, be ready to explain your approach to ensuring data accuracy and integrity. Discuss any experiences you have validating data pipelines and how you handle data quality checks.
✨Familiarise Yourself with Agile Methodologies
As the company uses Agile methodologies, it’s crucial to understand how Agile works. Be prepared to share examples of how you've contributed to Agile teams and adapted to changing requirements in past projects.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills and ability to work under pressure. Think of specific instances where you faced challenges in testing and how you overcame them, particularly in high-volume data environments.
