At a Glance
- Tasks: Lead teams to enhance asset data quality and manage surveying activities.
- Company: Career Choices Dewis Gyrfa Ltd, a forward-thinking organisation in the UK&I.
- Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
- Other info: Ideal for those with engineering backgrounds and knowledge of CMMS/EAMS/CAFM systems.
- Why this job: Make a real difference in data accuracy and project management in a dynamic environment.
- Qualifications: Project management skills and understanding of asset types and data structures.
The predicted salary is between 50000 - 65000 £ per year.
Career Choices Dewis Gyrfa Ltd is looking for a proactive Technical Data Engagement Manager to enhance asset data quality across their UK&I operations. The role involves managing surveying activities, overseeing teams, and ensuring data accuracy from bid to delivery.
The ideal candidate will possess project management skills and a solid understanding of various asset types and data structures. Background in engineering or technical qualifications is preferred. A good understanding of CMMS/EAMS/CAFM systems is required.
Remote Asset Data Engagement Lead in Manchester employer: Career Choices Dewis Gyrfa Ltd
At Career Choices Dewis Gyrfa Ltd, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel in their roles. As a Remote Asset Data Engagement Lead, you will benefit from flexible working arrangements, comprehensive professional development opportunities, and a commitment to enhancing your skills in a supportive environment. Join us in making a meaningful impact across the UK&I operations while enjoying the unique advantages of remote work.
Contact Details:
Career Choices Dewis Gyrfa Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Remote Asset Data Engagement Lead in Manchester
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We think you need these skills to ace Remote Asset Data Engagement Lead in Manchester
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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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.
