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- Tasks: Create and automate testing frameworks for data quality in cloud environments.
- Company: Leading digital engineering company in the UK with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for skill enhancement.
- Why this job: Join us to enhance your skills and work on exciting data engineering projects.
- Qualifications: Strong manual testing skills, Python and Bash proficiency, and Azure knowledge.
- Other info: Collaborative environment with a focus on professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading digital engineering company in the UK seeks a QA Engineer to create and automate testing frameworks. The role requires strong manual testing skills, proficiency in Python and Bash scripting, and knowledge of data quality frameworks. Ideal candidates will have experience in data engineering projects and testing on Azure. Join us to enhance your skills and collaborate on innovative projects.
Data QA Engineer – Automation & Cloud Testing in London employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data QA Engineer – Automation & Cloud Testing in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your automation frameworks and testing projects. This is a great way to demonstrate your expertise in Python, Bash scripting, and data quality frameworks.
✨Tip Number 3
Prepare for interviews by brushing up on common QA scenarios and cloud testing challenges. Practising your responses will help you feel more confident when discussing your experience with Azure and data engineering.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Data QA Engineer – Automation & Cloud Testing in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with manual testing, Python, and Bash scripting. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects you've worked on!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data quality frameworks and how your background in data engineering makes you a great fit for our team. Let us know what excites you about this role!
Showcase Your Projects: If you've worked on any data engineering projects or have experience testing on Azure, make sure to mention them. We love seeing real-world examples of your work, so include links or descriptions that demonstrate your expertise.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts and submit your materials!
How to prepare for a job interview at Jobster
✨Know Your Tech Inside Out
Make sure you brush up on your Python and Bash scripting skills. Be ready to discuss how you've used these languages in past projects, especially in relation to automation and testing frameworks. The more specific examples you can provide, the better!
✨Understand Data Quality Frameworks
Familiarise yourself with various data quality frameworks before the interview. Be prepared to explain how you’ve implemented these in previous roles or projects, and think about any challenges you faced and how you overcame them.
✨Showcase Your Manual Testing Skills
Even though the role focuses on automation, strong manual testing skills are crucial. Prepare to discuss your approach to manual testing, including any tools you’ve used and how you ensure thorough coverage of test cases.
✨Get Acquainted with Azure
Since the job involves testing on Azure, it’s essential to have a solid understanding of the platform. Research common testing practices in Azure and be ready to share your experiences or thoughts on how to optimise testing in a cloud environment.
