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- Tasks: Ensure data reliability and accuracy through testing and collaboration with Data Engineers.
- Company: Arrow, a forward-thinking company in Manchester focused on data innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Be part of a newly formed team with exciting challenges and career advancement.
- Why this job: Join a dynamic team and make a real impact on data quality and automation.
- Qualifications: Experience in QA/testing for data applications and strong SQL skills required.
The predicted salary is between 40000 - 50000 £ per year.
Arrow in Manchester is seeking a highly skilled Data QA Engineer to ensure the reliability and accuracy of data products and pipelines within a newly formed team. The ideal candidate must have proven QA/testing experience with data-intensive applications, alongside strong test engineering and SQL skills.
This collaborative role involves developing test strategies, identifying risks, and partnering with Data Engineers to enhance quality processes. The position emphasizes a quality-first mindset and requires hands-on experience with test automation and cloud-native solutions.
Data QA Engineer - Cloud Data Pipelines & Automation in Manchester employer: Arrow
Contact Detail:
Arrow Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data QA Engineer - Cloud Data Pipelines & Automation in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering and QA space. Attend meetups or webinars, and don’t be shy about asking for introductions. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your test strategies and any automation projects you've worked on. This is your chance to demonstrate your hands-on experience and quality-first mindset to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and test automation knowledge. Be ready to discuss how you’ve identified risks in past projects and collaborated with Data Engineers. Practice makes perfect, so consider mock interviews with friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job listings and make sure your application stands out by tailoring it to the specific role.
We think you need these skills to ace Data QA Engineer - Cloud Data Pipelines & Automation in Manchester
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your QA/testing experience with data-intensive applications. We want to see your strong test engineering and SQL skills shine through in your application!
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect how your experience aligns with the role of Data QA Engineer. Mention any hands-on experience you have with test automation and cloud-native solutions.
Be Collaborative: Since this role is all about teamwork, let us know about your collaborative experiences. Share examples of how you've partnered with Data Engineers or other teams to enhance quality processes.
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 don’t miss out on any important updates!
How to prepare for a job interview at Arrow
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data-intensive applications. Be prepared to discuss your previous QA/testing experiences and how they relate to ensuring data reliability and accuracy. Highlight specific projects where you developed test strategies or identified risks.
✨Show Off Your SQL Skills
Since strong SQL skills are a must for this role, practice writing queries and be ready to demonstrate your ability to manipulate and analyse data. You might be asked to solve a problem on the spot, so having a few examples of complex queries you've written can really impress.
✨Emphasise Collaboration
This role involves working closely with Data Engineers, so be prepared to talk about your experience in collaborative environments. Share examples of how you've partnered with others to enhance quality processes and how you approach teamwork in a QA context.
✨Get Familiar with Test Automation and Cloud Solutions
Hands-on experience with test automation and cloud-native solutions is key. Research the tools and technologies commonly used in the industry and be ready to discuss your experience with them. If you have any personal projects or contributions to open-source that showcase these skills, bring them up!