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Data Engineer

Full time

Adam Smith Building, Thomas R. Malthusstraat 1, Amsterdam
Uren per week
40 uur

Do you want to make real impact to our customers by engineering data-intensive products?

Data-driven advice is at the heart of our service. We believe that new (data) technology and techniques will help us in better serving our customers. Therefore we invest in a cloud based Datalake and Data Science Lab. Also, machine learning and advanced analytics models are seen as key tools.

In the Data Science Lab 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 productionising of data-intensive systems in close collaboration with our Data Scientists and Cloud Engineers.
  • 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.


  • Work on innovative ideas, solutions and technologies within FinTech and an online bank with international ambitions.
  • A challenging position in a young, fast-growing and ambitious company where you can leave your suit at home (because you cannot play table football with it).
  • We like to have fun. There is no sense in coming to work everyday if you don’t like the people you work with.
  • Good (secondary) employment conditions with attention to personal and professional development.


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:

  1. Hands-on experience managing distributed systems and clusters.
  2. Programming in scripting languages, e.g. Python, and statically typed programming languages i.e. Java, Scala.
  3. Complex Extract Transform Load (ETL) pipelines (Airflow preferred).
  4. AWS: EMR, ECS, EC2, Lambda.
  5. Deployment and provisioning automation tools.

Note: You need to be eligible to work in the EU.


“Why don’t we just set up a bank?” Not exactly a common thought, but one which triggered the launch of the first online bank in the Netherlands around six years ago. We are still not all that common, but we now serve more than 140.000 customers with around 275 employees and a huge amount of technology. Knab is continuing to develop. We don’t just want to be a bank, but a personal assistant for all your financial affairs. Knab helps people make the most of their money. Effortlessly. Quite a promise? That’s exactly why we need you!


Has the above convinced you of Knab and the position on offer? Then it’s up to you now! You have the opportunity to instantly convince us by uploading your (short but powerful) motivation and CV.


To get the full story about this vacancy or the application procedure, please contact Denise van Egdom, Recruiter, on +31 6 50803035

Please note that pre-employment screening is part of the selection process.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status.

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