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- Tasks: Lead the charge in transforming messy data into reliable, high-quality information.
- Company: Fast-growing global geospatial data company with a collaborative culture.
- Benefits: Up to ÂŁ55,000 salary, 33 days holiday, flexible hours, and health cash plan.
- Why this job: Shape the future of data quality while working with major tech companies.
- Qualifications: Experience with data quality tools and strong analytical skills.
- Other info: Join a supportive team that loves solving interesting problems together.
The predicted salary is between 42000 - 66000 ÂŁ per year.
Remote UK
Salary up to ÂŁ55,000
Love data? Obsessed with getting the details right?
I am currently recruiting for a fast-growing global geospatial data company helping some of the world’s biggest tech organisations see the world differently. As we continue to grow, we’re looking for a Data Quality Manager who thrives on turning messy, complex datasets into reliable, high-quality information that teams can trust.
The Role
This is a chance to play a key role in shaping the quality of the data that powers our products and supports decision-making across the business. You will lead the way in defining what “great data quality” looks like, embedding strong governance practices and collaborating with teams across the organisation to make sure our data is accurate, consistent and ready for action. You will also work alongside major international tech companies while helping drive improvements to our data products during an exciting period of growth.
What You’ll Be Doing
- Leading the management and improvement of geospatial data quality
- Defining data quality objectives within the broader data governance strategy
- Working collaboratively with data owners to embed new data quality practices
- Establishing and monitoring data quality standards across our information assets
- Evaluating and implementing tools and frameworks for data quality management
- Sharing insights and recommendations with product and development teams to support agile improvements
What You’ll Bring
- Strong experience with data quality tools or frameworks (e.g. Collibra, DAMA-DMBOK)
- A solid understanding of data governance
- Knowledge of regulatory environments (especially Government, Infrastructure or Utilities)
- Excellent analytical and problem-solving skills
- Clear communication skills — you can translate technical topics for any audience
- Strong organisation, prioritisation and delivery focus
Bonus Points If You Have
- Experience sourcing and maintaining data assets
- Wider data management experience
- A talent for making technical topics easy to understand
- An interest or passion for the geospatial industry
What You’ll Get
- 33 days holiday to recharge
- Flexible working hours to suit your day
- Your birthday off – always 🎉
- Health cash plan fully paid for
- Family-friendly benefits
- Regular social events, team shindigs and celebrations
Most importantly, you’ll be joining a friendly, collaborative and genuinely supportive team that loves solving interesting problems together.
Bright Purple is an equal opportunities employer: we are proud to work with clients who share our values of diversity and inclusion in our industry.
Data Quality Manager in Wolverhampton employer: Bright Purple
Contact Detail:
Bright Purple Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Quality Manager in Wolverhampton
✨Tip Number 1
Network like a pro! Reach out to people in the geospatial data field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data quality projects or any relevant work. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data quality scenarios. Think about how you’d tackle real-world problems and be ready to share your thought process with interviewers.
✨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 love hearing from passionate candidates like you!
We think you need these skills to ace Data Quality Manager in Wolverhampton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Quality Manager role. Highlight your experience with data quality tools and governance, and don’t forget to sprinkle in some examples of how you've turned messy datasets into reliable information.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re passionate about data quality and how your skills align with our mission. Be sure to mention any relevant experience with geospatial data or working with tech companies.
Show Off Your Analytical Skills: In your application, give us a taste of your analytical prowess. Share specific examples of how you've tackled data quality issues in the past and the impact your solutions had on the business. We love seeing problem-solving in action!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the latest updates from us. Plus, it’s super easy!
How to prepare for a job interview at Bright Purple
✨Know Your Data Quality Tools
Make sure you’re familiar with the data quality tools and frameworks mentioned in the job description, like Collibra or DAMA-DMBOK. Be ready to discuss your experience with these tools and how you've used them to improve data quality in previous roles.
✨Understand Data Governance
Brush up on your knowledge of data governance and regulatory environments, especially in sectors like Government, Infrastructure, or Utilities. Being able to articulate how you’ve implemented governance practices will show that you’re a strong fit for the role.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your analytical and problem-solving skills. Think of specific examples where you turned messy datasets into reliable information, and be ready to explain your thought process clearly.
✨Communicate Clearly
Since clear communication is key, practice explaining technical topics in simple terms. You might be asked to translate complex data issues for non-technical stakeholders, so showcasing this skill can set you apart from other candidates.