£125000 - £200000 per annum
4 months ago
The project itself would be to design, develop and implement a multi-cloud solution to create a 'new normal' when data is ingested into the organization. This would mean, a mass migration of all the data on-premises to the multi-cloud architecture designed (by you and a team of like-minded individuals) from whiteboarding to launch. This would be incorporating every facet of the Digital office from Analytics to Machine Learning and AI Solutions.
-Taking a multi-cloud solution from POC to launch.
-Designing, Developing and implementing a multi-cloud solution with the following tools/technologies (AWS - Amazon Web Services, GCP - Google Cloud Platform, Azure)
-Leading/building Data Science/Engineering teams across a variety of sectors (financial experience not a must)
-Understanding and helping to define an operating model for the team and future cloud products.
-Understanding the challenge ahead and what would be needed to change.
-Extensive commercial experience with Big Data Tools & Technologies (Kafka, Spark, Hadoop).
-Strong commercial experience leading and building teams of Data Engineers and Data Scientists.
-Commercial experience in deployment orchestration.
-Strong commercial experience with one of the following scripting/programming languages (Python, Java, Scala).
-Extensive commercial experience with one (or more) of the following cloud solutions (AWS - Amazon Web Services, GCP - Google Cloud Platform, Azure)
-Strong/extensive commercial experience building out cloud architectures
-Extensive commercial experience working with both relational and unstructured databases
If you are interested in this or other Data Engineering roles, please contact Ross Wiltshire on Ross.Wiltshire@xcede.co.uk - +44 (0)2033019903