We believe that new (data) technology and techniques will help us in better serving our customers. Therefore we invest in a cloud based Intelligence Infrastructure with a Datalake at its core. Also, machine learning and advanced analytics models are seen as key tools. In the Datalake you get the freedom to develop and test your data streams, publication sets, models, based on streams of data that arrive automatically. Both linear and logistic models and the more complex neural networks can be applied, as long as these models can be brought into production and deliver added value to the customer.
Here’s a little taste of your challenge…
The department Data, Analytics and Pricing consist of young professionals with a big heart for Data. All communicative “beta nerds” who get energized by complex data challenges (and a Friday afternoon beer). By using advanced techniques the department supports all parts of Knab in strategic decision making for which a complete set of internal and externa data sources can be tapped in to. Think of data driven (customer) advice, triggering of alerts, attribution modelling, customer value and prediction modelling, product development, process analysis etc. as products of the department.
There is no set route to become a great Data Engineer at Knab. But to be successful in this role, this is the kind of profile we have in mind:
Do you have what it takes to become Data Engineer at Knab, then we look forward to receiving your application and CV via this webpage. For more information, please contact Caroline Kiela at firstname.lastname@example.org