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- Tasks: Ensure data quality standards and manage validation checks while collaborating with data engineering teams.
- Company: Dynamic technology consultancy based in Greater London.
- Benefits: Competitive salary, flexible remote work, and extensive training opportunities.
- Why this job: Join a team that values data integrity and make a real impact on projects.
- Qualifications: Experience in data quality assurance and strong communication skills.
- Other info: Exciting opportunity for career growth in a collaborative environment.
The predicted salary is between 43200 - 72000 £ per year.
A technology consultancy in Greater London seeks a Senior Data/Manual Tester to ensure data quality standards are met. The role involves managing data quality frameworks, issues, and validation checks, while collaborating closely with data engineering teams.
Ideal candidates will have experience in data quality assurance and strong communication skills to engage with stakeholders effectively.
Benefits include a competitive salary, flexibility to work from home, and various training opportunities.
Senior Data Quality Tester — Data Validation & QA Lead employer: Solirius Reply
Contact Detail:
Solirius Reply Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Quality Tester — Data Validation & QA Lead
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech consultancy space, especially those who work with data quality. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience in data quality assurance. This will give you an edge when discussing your expertise during interviews.
✨Tip Number 3
Practice makes perfect! Mock interviews with friends or mentors can help you articulate your experience and how it aligns with the role. Focus on your communication skills, as they’re key for engaging with stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes put you ahead of the competition. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Senior Data Quality Tester — Data Validation & QA Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data quality assurance and any relevant frameworks you've managed. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data quality and how your background makes you the perfect fit for our team. Remember, we love a good story!
Showcase Your Communication Skills: Since the role involves engaging with stakeholders, make sure to highlight your communication skills in your application. We want to know how you’ve successfully collaborated with teams in the past!
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 from our team!
How to prepare for a job interview at Solirius Reply
✨Know Your Data Quality Standards
Before the interview, brush up on the key data quality standards relevant to the role. Be prepared to discuss how you've implemented these standards in past projects and how they can be applied in the new position.
✨Showcase Your Collaboration Skills
Since the role involves working closely with data engineering teams, think of examples where you've successfully collaborated with technical teams. Highlight your communication strategies and how you’ve engaged stakeholders to ensure data quality.
✨Prepare for Technical Questions
Expect questions about data validation checks and frameworks. Review common testing methodologies and be ready to explain your approach to managing data quality issues. This will demonstrate your expertise and confidence in the field.
✨Ask Insightful Questions
At the end of the interview, ask questions that show your interest in the company’s data quality processes. Inquire about the tools they use or how they measure success in data quality assurance. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
