At a Glance
- Tasks: Join a dynamic team to ensure data quality and reliability through testing.
- Company: Harvey Nash's client, a leader in data engineering.
- Benefits: Competitive pay, fully remote work, and a 6-month contract.
- Other info: Great opportunity for career growth in a supportive environment.
- Why this job: Make a real difference by ensuring high-quality data solutions.
- Qualifications: Experience in data QA testing and strong collaboration skills.
The predicted salary is between 46800 - 62400 £ per year.
Fully Remote
Check out the role overview below. If you are confident you have got the right skills and experience, apply today.
£260 per day Outside IR35 6-month contract
Must have UK Citizenship or ILR (no Tier 2 dependent visas).
Harvey Nash's client is looking for an experienced Data QA Engineer.
You will join a collaborative Data Engineering team, working closely with developers and architects to deliver high-quality, accurate, and reliable data solutions.
Role duties:
Data QA Tester employer: Harvey Nash
As a fully remote employer, Harvey Nash offers an exceptional work culture that prioritises collaboration and innovation within its Data Engineering team. Employees benefit from competitive daily rates, flexible working arrangements, and opportunities for professional growth in a supportive environment, making it an ideal choice for those seeking meaningful and rewarding employment in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data QA Tester
✨Tip Number 1
Network like a pro! Reach out to your connections in the data field and let them know you're on the lookout for a Data QA Tester role. You never know who might have the inside scoop on an opportunity!
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills and understanding the latest trends in data quality assurance. We recommend practising common interview questions and even doing mock interviews with friends.
✨Tip Number 3
Showcase your projects! If you've worked on any relevant data testing projects, make sure to highlight them during interviews. We love seeing real examples of your work that demonstrate your skills and experience.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for talented individuals like you to join our team!
We think you need these skills to ace Data QA Tester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights the skills and experience that match the Data QA Tester role. We want to see how your background aligns with what we're looking for, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for our team. We love seeing enthusiasm and a bit of personality, so let us know what excites you about this role.
Showcase Your Technical Skills:As a Data QA Engineer, your technical skills are key. Be sure to mention any tools or technologies you’ve worked with that are relevant to data testing. We’re keen to see your expertise in action!
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 a few clicks and you’re done!
How to prepare for a job interview at Harvey Nash
✨Know Your Data
Make sure you brush up on your data testing knowledge. Understand the key concepts of data quality, validation techniques, and automation tools relevant to the role. Being able to discuss specific examples from your past experience will show that you’re not just familiar with the theory but have practical skills too.
✨Familiarise Yourself with the Team
Research the company’s Data Engineering team and their projects. Knowing who you’ll be working with and what they value can help you tailor your answers. If you can reference their work or challenges they face, it shows genuine interest and that you’ve done your homework.
✨Prepare for Technical Questions
Expect technical questions related to data QA processes and automation. Brush up on common tools and frameworks used in the industry. Practising coding tests or scenarios can also give you an edge, as it demonstrates your hands-on ability to tackle real-world problems.
✨Showcase Your Collaboration Skills
Since this role involves working closely with developers and architects, be ready to discuss how you’ve successfully collaborated in the past. Share examples of how you’ve communicated effectively within a team, resolved conflicts, or contributed to a project’s success through teamwork.
