In a nutshell

More information

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

The 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

Work with us
When you come to work with us, Knab will become an important part of your life. That is why we ensure that the atmosphere and working conditions are just as vibrant as the job itself! Check the benefits!

More information

Application procedure

1
1. You apply
You apply
2
2. Intake (phone)
Intake (phone)
3
3. First interview
First interview
4
4. Case
Case
5
5. Second interview
Second interview
6
6. Third interview
Third interview
7
7. Offer
Offer
8
8. Pre-employment screening
Pre-employment screening
9
9. Whoo! New job!
Whoo! New job!

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