Data QA Engineer - Cloud Data Pipelines & Automation
Data QA Engineer - Cloud Data Pipelines & Automation

Data QA Engineer - Cloud Data Pipelines & Automation

Full-Time 40000 - 50000 £ / year (est.) No home office possible
Arrow

At a Glance

  • Tasks: Ensure data reliability and accuracy through testing and collaboration with Data Engineers.
  • Company: Join Arrow, a forward-thinking company in Manchester focused on data innovation.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Dynamic work environment with a focus on quality-first mindset and cloud solutions.
  • Why this job: Be part of a new team making 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 employer: Arrow

Arrow in Manchester is an exceptional employer that fosters a collaborative and innovative work culture, where employees are encouraged to develop their skills and grow within the organisation. With a strong emphasis on quality and teamwork, the company offers unique opportunities for professional development, alongside competitive benefits that support work-life balance and employee well-being. Joining Arrow means being part of a forward-thinking team dedicated to delivering high-quality data solutions in a dynamic environment.
Arrow

Contact Detail:

Arrow Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data QA Engineer - Cloud Data Pipelines & Automation

✨Tip Number 1

Network like a pro! Reach out to folks in the industry on LinkedIn or at local 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 QA/testing projects, especially those involving data-intensive applications. This will give potential employers a taste of what you can bring to the table.

✨Tip Number 3

Prepare for interviews by brushing up on your SQL and test automation knowledge. Be ready to discuss how you've developed test strategies and tackled risks in past roles—this is your chance to shine!

✨Tip Number 4

Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes the application process smoother for everyone involved.

We think you need these skills to ace Data QA Engineer - Cloud Data Pipelines & Automation

QA Testing Experience
Test Engineering
SQL Skills
Test Automation
Cloud-Native Solutions
Test Strategy Development
Risk Identification
Collaboration Skills
Data Quality Assurance
Data Pipeline Reliability
Attention to Detail
Problem-Solving Skills

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 involves partnering with Data Engineers, it’s a good idea to mention any collaborative projects you've worked on. Show us that you have a quality-first mindset and can work well in a team!

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 this exciting opportunity!

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 the role. Highlight specific projects where you ensured data reliability and accuracy.

✨Show Off Your SQL Skills

Since strong SQL skills are a must, practice some common SQL queries and be ready to demonstrate your ability to manipulate and analyse data. You might even get asked to solve a problem on the spot, so being comfortable with SQL will give you an edge.

✨Emphasise Collaboration

This role involves working closely with Data Engineers, so be ready to talk about your experience in collaborative environments. Share examples of how you've partnered with others to enhance quality processes and develop effective test strategies.

✨Get Familiar with Test Automation and Cloud Solutions

Since hands-on experience with test automation and cloud-native solutions is key, make sure you can discuss the tools and frameworks you've used. If you have any specific examples of how you've implemented automation in your previous roles, bring those to the table!

Data QA Engineer - Cloud Data Pipelines & Automation
Arrow

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