In a nutshell

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Role

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…

  • Setup, deployment and productionizing of data-intensive systems in close collaboration with our Data Scientists, Cloud Engineers and Data Management Team
  • Engineering systems, from the OS-level to big data clusters
  • Develop data pipelines including transformation and pre-processing
  • Work in multidisciplinary teams of marketers, online marketers, analysts and developers, so that you are closely involved in the business

Team

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.




Your Profile

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:

  • Excellent Python coding skills
  • Some hands-on experience with Apache Airflow, AWS Athena, Redshift, Hadoop and S3
  • Nice to have: Knowledge on AWS Glue, AWS Sagemaker, Lambda and AWS DMS

 

What we offer

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 caroline.kiela@knab.nl

 

More information

Application procedure

1
1. Intake (phone)
Intake (phone)
2
2. First interview
First interview
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3. Second interview
Second interview
4
4. Offer
Offer
5
5. Pre-employment screening
Pre-employment screening
6
6. Whoo! New job!
Whoo! New job!

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