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For Companies At a Glance
- Tasks: Ensure data quality and integrity in a dynamic insurance environment.
- Company: Join a leading company in the insurance industry with a strong reputation.
- Benefits: Competitive pay, flexible working options, and opportunities for growth.
- Why this job: Make a real impact by ensuring data accuracy and compliance.
- Qualifications: Experience in data QA roles and knowledge of cloud platforms.
- Other info: Collaborative team culture with a focus on innovation and quality.
The predicted salary is between 36000 - 60000 £ per year.
Location: London
Contract Length: 6 months
Randstad Sourceright, a leading provider of RPO & MSP Recruitment Services, is currently recruiting for a Data Warehouse Quality Assurance Engineer on behalf of a well-known company in the insurance industry.
Job Role
The Data Warehouse Quality Assurance Engineer (QE) ensures that all data-related solutions meet quality standards before deployment. This role focuses on validating data integrity, accuracy, and compliance within the data warehouse environment.
Responsibilities:
- Requirements Analysis: Understand business and technical requirements to design effective test strategies.
- Test Planning & Execution: Create detailed test scenarios and scripts for ETL processes, data transformations, and reporting layers. Validate data accuracy, completeness, and consistency across source and target systems.
- Automation & Regression: Build automated test packs for regression testing of data pipelines. Implement tools for continuous testing in CI/CD workflows.
- Collaboration: Work closely with Data Engineers and Analysts to ensure proper coverage of functional and non-functional requirements. Support Business UAT and liaise with stakeholders for sign-off.
- Defect Management: Identify, document, and track defects through resolution.
Requirements for this position:
- Previous experience in data-focused QA engineer roles within London Market insurance (including Lloyds of London).
- Exposure to cloud-based data platforms (Azure, AWS, GCP) and modern data pipelines.
- Understanding of data governance and compliance standards.
We are committed to providing equal employment opportunities and encourage all qualified candidates to apply. While the hiring process may not be expedited, we urge all interested candidates to submit their applications promptly to ensure their consideration.
Datawarehouse QA Engineer in England employer: Randstad Enterprise
Contact Detail:
Randstad Enterprise Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Datawarehouse QA Engineer in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the insurance industry, especially those who work with data. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous QA projects, especially those involving data warehouses. This gives potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common QA scenarios and data integrity questions. Practise articulating your thought process when tackling test strategies and defect management.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Datawarehouse QA Engineer in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Datawarehouse QA Engineer role. Highlight your experience with data-focused QA, especially in the insurance sector, and any relevant cloud platforms you've worked with. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background makes you a perfect fit. Don’t forget to mention your experience with data integrity and compliance standards – that’s music to our ears!
Showcase Your Technical Skills: In your application, be sure to highlight your technical skills, especially around test planning, automation, and regression testing. We love seeing candidates who can demonstrate their expertise in building automated test packs and working with CI/CD workflows.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Randstad Enterprise
✨Know Your Data Inside Out
Before the interview, make sure you understand the key concepts of data integrity, accuracy, and compliance. Brush up on your knowledge of ETL processes and how they relate to the insurance industry, especially if you have experience with Lloyds of London.
✨Prepare for Technical Questions
Expect questions about your experience with cloud-based data platforms like Azure, AWS, or GCP. Be ready to discuss specific tools you've used for automation and regression testing, as well as how you've implemented continuous testing in CI/CD workflows.
✨Showcase Your Collaboration Skills
Since this role involves working closely with Data Engineers and Analysts, be prepared to share examples of how you've successfully collaborated in past projects. Highlight any experiences where you supported UAT or liaised with stakeholders for sign-off.
✨Defect Management Experience is Key
Be ready to talk about your approach to defect management. Discuss how you've identified, documented, and tracked defects in previous roles, and provide examples of how you ensured resolution before deployment.