£50000 - £75000 per annum + benefits, bonus, options
Xcede are currently recruiting for a Data Engineer with one of the world's leading InsureTech companies who utilise telematics data to transform the industry through a combination of real-time analysis & predictive modelling!
Their Data Engineering team works very closely with the Data Science unit and is expected to work on building their end to end ETL Pipelines. By the very nature of the product, they need someone who is comfortable dealing with large, unstructured data sets and forming them into usable resources. In order to do so, you will be given plenty of training & guidance alongside a key part of their project to work on from the off.
What your day to day will look like:
*Assessing the best sources of data across the organisation
*Work with structured, semi-structured and unstructured data.
*Work collaboratively within a team of data engineers.
*Designing, building, and implementing both real-time and batch ETL pipelines
*Working within an AWS environment.
*Python Engineering skills (JVM experience welcome, but not needed)
*Experience of building commercial ETL Pipelines
*Strong data processing experience with Apache Spark (or similar)
*Experience working with Cloud technologies (AWS preferable)
*Bonus: experience with algorithm and model deployment
*Healthcare, Pension, and more!
If you are interested in this or other Data Science, Machine Learning Engineer or Data Engineering roles, please contact Niall Wharton on Niall.Wharton@xcede.co.uk - +44 (0)203 301 9908