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- Tasks: Join a dynamic team to ensure data accuracy and performance through testing and validation.
- Company: Be part of a flagship digital team focused on innovative data solutions.
- Benefits: Enjoy a competitive day rate and the potential for contract extension.
- Why this job: Work in a fast-paced environment with cross-functional collaboration and impactful projects.
- Qualifications: Strong experience in QA, data migration, and ETL processes is essential.
- Other info: Contract role with immediate start; perfect for those seeking hands-on experience.
The predicted salary is between 60000 - 84000 £ per year.
Contract Length: 12 Months (with potential extension)
Day Rate: Up to £475 per day (Inside IR35)
Start Date: ASAP
About the Role
I'm seeking a highly skilled Senior QA Engineer with strong experience in data migration, analysis, quality and validation to join an outstanding flagship digital team on a contract basis. You’ll play a key role in ensuring the accuracy, reliability, and performance of their data pipelines and analytics products. This is an excellent opportunity to work with a cross-functional team of engineers, analysts, and data scientists in a fast-paced environment where quality and precision are critical.
Key Responsibilities
- Design, develop, and execute test plans for ETL pipelines, data transformations, and analytics products
- Develop automated tests and validation tools for data integrity, accuracy, completeness, and performance
- Identify, document, and track defects in large-scale data systems
- Work closely with data engineers, product managers, and business stakeholders to define test requirements
- Conduct root cause analysis of data issues and drive resolution
Senior QA Engineer - ETL Data Migration employer: Click To Hired
Contact Detail:
Click To Hired Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior QA Engineer - ETL Data Migration
✨Tip Number 1
Familiarise yourself with the specific ETL tools and technologies mentioned in the job description. Having hands-on experience or certifications in these tools can set you apart from other candidates.
✨Tip Number 2
Network with current or former employees of StudySmarter on platforms like LinkedIn. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 3
Prepare to discuss your previous experiences with data migration and quality assurance in detail. Be ready to share specific examples of challenges you've faced and how you resolved them, as this will demonstrate your problem-solving skills.
✨Tip Number 4
Stay updated on the latest trends and best practices in QA engineering and data analysis. Being knowledgeable about current industry standards can help you impress during interviews and show your commitment to continuous learning.
We think you need these skills to ace Senior QA Engineer - ETL Data Migration
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data migration, ETL processes, and quality assurance. Use specific examples that demonstrate your skills in these areas to catch the attention of the hiring team.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your relevant experience with data pipelines and analytics products, and explain how you can contribute to their digital team.
Showcase Technical Skills: Clearly list your technical skills related to QA engineering, such as familiarity with automated testing tools, data validation techniques, and any programming languages you are proficient in. This will help demonstrate your fit for the role.
Highlight Collaboration Experience: Since the role involves working closely with cross-functional teams, include examples of past collaborations with engineers, analysts, or product managers. This will show your ability to work effectively in a team-oriented environment.
How to prepare for a job interview at Click To Hired
✨Showcase Your Technical Skills
Be prepared to discuss your experience with ETL processes and data migration in detail. Highlight specific tools and technologies you've used, and be ready to explain how you've ensured data integrity and quality in past projects.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your analytical skills and ability to troubleshoot data issues. Prepare examples of past challenges you've faced in QA roles and how you resolved them, particularly in relation to data validation and performance.
✨Understand the Business Context
Research the company and its products before the interview. Understanding their data pipelines and analytics goals will help you tailor your responses and demonstrate your interest in contributing to their success.
✨Prepare for Team Collaboration Questions
Since you'll be working closely with cross-functional teams, be ready to discuss your experience collaborating with engineers, analysts, and stakeholders. Share examples of how you've effectively communicated and defined test requirements in previous roles.
