Data Quality Manager in Bonnyrigg

Data Quality Manager in Bonnyrigg

Bonnyrigg Full-Time 65000 - 65000 £ / year (est.) Working from home possible
Bright Purple Resourcing

At a Glance

  • Tasks: Lead data quality initiatives and ensure geospatial data meets high standards.
  • Company: Dynamic geospatial data company at the forefront of innovation.
  • Benefits: 33 days' holiday, flexible hours, health benefits, and a fun team culture.
  • Other info: Join a sociable team with opportunities for growth and development.
  • Why this job: Shape the future of data products for major international tech companies.
  • Qualifications: Experience in data quality management and strong analytical skills.

The predicted salary is between 65000 - 65000 £ per year.

Are you a data quality professional with a passion for geospatial data? Our client is a dynamic, rapidly-growing geospatial data company looking for a Data Quality Manager to join them at a hugely exciting time of growth.

This company is a market leader in the provision of 360 street level imagery and 3D data to major international tech customers, operating globally across the Immersive Media and Geographic Information System markets. They collect and process petabytes of data across multiple cloud platforms worldwide, with mobile mapping capture projects spanning locations across the globe.

About the Role

You will lead the definition of quality within the data governance framework, ensuring all data and information assets used to underpin decision-making both internally and externally are reliable, consistent, accurate and aligned with relevant data quality standards. This is an opportunity to work with major international tech companies and help shape the future of their data products.

Responsibilities

  • Managing data quality associated with geospatial data
  • Defining data quality objectives as part of the data governance strategy
  • Driving practical, collaborative engagement with data owners so that data quality objectives are understood in terms of value and successfully adopted into new ways of working
  • Identifying relevant data quality standards and objectively monitoring progress against them, ensuring consistency and integrity across data and information assets
  • Evaluating and implementing tools to support data quality management across the lifecycle, including hands-on work with data cleansing and validation processes
  • Sharing insights and improvement requirements so they can be prioritised as part of an agile development and release process

What you will Bring

  • Deep technical proficiency in improving the quality of remotely sensed 2D & 3D datasets (imagery, LiDAR) and geospatial data at scale
  • Thorough understanding and practical experience implementing workflow tools and/or frameworks to monitor quality across the data production lifecycle (e.g. Collibra)
  • Domain experience and knowledge, particularly in Government, Infrastructure & Utilities
  • Excellent analytical and problem-solving skills
  • Excellent communication skills
  • A well-organised, structured approach to work
  • Strong prioritisation, time management and focus on delivering key objectives

Bonus points if you have:

  • Experience sourcing and maintaining data assets
  • Data management experience
  • An aptitude for making technical work accessible to non-technical audiences
  • A genuine passion for the geospatial industry

Benefits

  • 33 days' holiday
  • The ability to flex your working day
  • Your birthday off, every year
  • Health benefits cash plan
  • Family-friendly benefits
  • A sociable, inclusive team culture with regular social events

If you're ready to help power this exciting growth journey, we'd love to hear from you.

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 Bonnyrigg employer: Bright Purple Resourcing

Blake Group is an exceptional employer located in Edinburgh, offering a dynamic work environment where innovation and quality are at the forefront of their engineering and manufacturing operations. With a strong focus on employee growth and development, they provide opportunities for leadership and strategic influence, making this a rewarding role for those looking to make a significant impact in a thriving business. The company's commitment to a high-performance culture and inclusivity ensures that every team member can contribute to and share in the success of the organisation.

Bright Purple Resourcing

Contact Details:

Bright Purple Resourcing Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Quality Manager in Bonnyrigg

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Apply Directly through Our Website

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We think you need these skills to ace Data Quality Manager in Bonnyrigg

Communication Skills
Problem-Solving Skills
SQL
Python
Data Governance
Automation
Attention to Detail

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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Craft a Tailored Cover Letter:For a full-time role at Bright Purple Resourcing, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Bright Purple Resourcing. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Bright Purple Resourcing

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

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Get Comfortable with Python and R

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Prepare for Case Studies

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.