At a Glance
- Tasks: Lead data quality initiatives and ensure accuracy of geospatial data.
- Company: Join a forward-thinking IT & Technology organisation with a remote-first culture.
- Benefits: Salary between £40,000 to £50,000, 33 days holiday, and excellent health benefits.
- Other info: Fully remote role with opportunities for professional growth.
- Why this job: Shape data strategy and make a real impact on data governance.
- Qualifications: Experience with data quality tools and GIS platforms like ArcGIS and QGIS.
The predicted salary is between 40000 - 50000 £ per year.
Do you thrive on improving data quality, driving governance, and delivering trusted business insights? Join our client as a Data Quality Manager, where you'll lead data quality initiatives, implement governance frameworks, and ensure the accuracy, consistency, and reliability of critical information assets. This is an excellent opportunity to shape data strategy while working with geospatial and enterprise-wide datasets. This is a fully remote role.
What you will get in your new role
- Salary: £40,000 to £50,000 per annum
- Fully remote (must be UK-based)
- Generous holiday allowance of 33 days
- The opportunity to flex your working day
- Birthday day off
- Excellent health benefits cash plan
- Family-friendly benefits
Responsibilities in your new role as Data Quality Manager
In this role, you will take ownership of geospatial data quality, ensuring accuracy, consistency, and integrity across all data assets. You'll define clear data quality standards as part of a wider governance framework and work closely with data owners to embed best practices into everyday processes. You will also:
- Monitor data quality and performance against agreed standards
- Identify opportunities to improve data accuracy and consistency
- Implement tools and processes to enhance data quality across the data lifecycle
- Carry out data cleansing, validation, and quality checks
- Analyse data issues and recommend practical solutions
- Feed insights and improvement priorities into agile development and release plans
- Support the continuous improvement of data management processes
- Collaborate with stakeholders to maintain high standards of data quality
Your personality, experience and qualifications
We're looking for a technically strong data professional with proven experience working with data quality tools and frameworks such as Collibra or DAMA-DMBOK. A solid understanding of GIS platforms including ArcGIS and QGIS is essential, alongside experience handling geospatial data formats such as Shapefiles and GeoJSON. You'll also bring:
- A strong understanding of data governance principles and regulatory requirements
- Experience working within Government, Infrastructure, Utilities, or similar regulated sectors (preferred)
- Excellent analytical and problem-solving skills
- Ability to prioritise competing workloads and manage deadlines effectively
- Strong organisational and time management skills
- Confident communicating complex technical information to both technical and non-technical stakeholders
- Excellent written and verbal communication skills
- A proactive, solutions-focused approach with strong attention to detail
If you're ready to play a key role in strengthening data integrity within a forward-thinking, remote, IT & Technology organisation, we'd love to hear from you. Apply now!
Please send us an up-to-date copy of your CV, by clicking the Apply button. This position is only available to applicants who have immediate Right to Work in the UK and you will be required to provide evidence of such upon request. Also required are up-to-date contact details for at least 2 references.
Data Quality Manager - Geospatial or LiDAR - Fully Remote - UK in Slough employer: Stafffinders Recruitment Ltd
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Contact Details:
Stafffinders Recruitment Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Quality Manager - Geospatial or LiDAR - Fully Remote - UK in Slough
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We think you need these skills to ace Data Quality Manager - Geospatial or LiDAR - Fully Remote - UK in Slough
Some tips for your application 🫡
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
