Start Date
Immediate
Expiry Date
12 Nov, 25
Salary
56345.0
Posted On
13 Aug, 25
Experience
0 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Good communication skills
Industry
Education Management
AVAILABLE DOCUMENTS
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Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above.
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ABOUT THE ROLE
Imperial College London is the only UK university to focus entirely on science, engineering, medicine and business and our international reputation for excellence in teaching and research sees us consistently rated a top 10 university worldwide. The Faculty comprises of ten departments and, across all levels of study, has in excess of 10,000 students. This requires a high level of support and collaboration from our Ed Tech teams.
The Education Systems and Delivery team work alongside an Ed Tech Learning Design and Innovation team.. Both sections work in partnership with one another to provide high quality support for all our colleagues in Departments to enhance the experience of students and staff in the undertaking of our Educational Mission.
Based in the Education Systems and Delivery team , the Power Platform and Data Systems Developer will be responsible for managing and supporting the use of Power Platform and Microsoft 365 applications; seeking opportunities to improve processes and working methods, gathering requirements, identifying solutions, building data flows and models and representing the data needs and requirements of the Faculty and department education teams.
WHAT YOU WOULD BE DOING
You will work to coordinate, plan and support digital tools and databases, improving the ways in which we collect, process, integrate and report on information. This will include documenting all integration processes, and facilitating innovative collaborative working, process automation, and efficient information sharing and engagement across the Faculty.
You will also be expected to monitor and report on the use and requirements of data and information infrastructure across the Faculty to inform decisions about ongoing use.