Job Vacancy Archive
Data Engineer (KMi)
Knowledge Media Institute (KMi)
£33,797 to £40,322, Ref: 16999
Based in Milton Keynes
Fixed Term Contract until 31 July 2021, Full Time
Application closed on: Tuesday 18 February 2020.
Change your career, change lives
The Open University is the UK's largest university, a world leader in flexible part-time education combining a mission to widen access to higher education with research excellence, transforming lives through education.
We are currently looking for a Data Engineer to help us with scaling up the predictive learning analytics system and move it to a new data architecture.
OU Analyse (http://analyse.kmi.open.ac.uk) is an award winning project that focuses on increasing the retention rate at the Open University by Machine Learning powered Predictive Learning Analytics and at the same time to improve the quality of education.
Skills and experience
You will have Master Degree in Computer Science or equivalent career experience in developing data-intensive or web applications. Having an experience with Data Warehouses, ETL process and MS Azure is a desirable but not essential.
The role holder will:
Development of OU Analyse that will enable to have it deploy on a new university data architecture and scale the project to all courses at the OU
Development of data pipelines for supporting the current and new predictive algorithms to predict student success
Development of new data science prototypes focused on a) development and deployment of personalised study recommender and b) modelling student pathways and predicting the best path towards the successfully finished qualification
See the attached Job Description below for further details and desirable qualities.
What you get in return
Benefits include a supportive and friendly working environment, 33 days holiday per annum pro rata plus Bank Holidays and Christmas closure days, and an attractive pension proposition.
To apply, please fill the application form below and also include a Covering Letter (a maximum of 2,500 words) and CV
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