At a Glance
- Tasks: Lead the charge in improving geospatial data quality and governance.
- Company: Fast-growing global geospatial data company with a collaborative culture.
- Benefits: Up to £55,000 salary, 33 days holiday, flexible hours, and health cash plan.
- Other info: Join a supportive team that values diversity and celebrates successes together.
- 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 required.
The predicted salary is between 42000 - 66000 £ per year.
Remote UK
Salary up to £55,000
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 Hull employer: Bright Purple
Join a fast-growing global geospatial data company that values precision and collaboration, offering a supportive work culture where your contributions directly impact the quality of data that drives major tech organisations. With flexible working hours, 33 days of holiday, and a commitment to employee growth through regular social events and family-friendly benefits, this role as a Data Quality Manager provides an exciting opportunity to thrive in a dynamic environment while working alongside industry leaders.
StudySmarter Expert Advice🤫
We think this is how you could land Data Quality Manager in Hull
✨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 open doors that a CV just can't.
✨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.
✨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 seeing candidates who are proactive!
We think you need these skills to ace Data Quality Manager in Hull
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 needs. Be sure to mention any relevant experience with geospatial data or regulatory environments.
Show Off Your Communication Skills:We love clear communicators! In your application, demonstrate how you can translate complex data topics into easy-to-understand language. This will show us that you can collaborate effectively across teams.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, we love seeing applications come in directly from our site!
How to prepare for a job interview at Bright Purple
✨Know Your Data Quality Tools
Make sure you’re well-versed in 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 data governance principles and be prepared to explain how they apply to the role. Think about examples where you've successfully implemented governance practices and how they contributed to better data quality.
✨Communicate Clearly
Since clear communication is key, practice explaining complex data concepts in simple terms. You might be asked to translate technical topics for non-technical audiences, so having a few examples ready will help you shine.
✨Show Your Passion for Geospatial Data
Express your interest in the geospatial industry and how it relates to data quality. Share any relevant experiences or projects that highlight your enthusiasm and understanding of this field, as it can set you apart from other candidates.
