Data Engineer

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Hello future Data Engineer of Blendle!


The people above are overhauling the way journalism is experienced. We make sure our readers have easy access to hundreds of newspapers and magazines every day, and out of those thousands of new articles, we deliver the perfect selection to them.

To achieve this, we constantly analyze how Blendle is used, where our users get stuck, how our A/B-tests run, and how the rest of the team act on all this information. Blendle currently has over 1,000,000 users, so that’s a big pile of events already.

We do a fine job of collecting all that data, but it’s time for the next step. That’s where you come in.

You’ll help us with your knowledge of business analytics, predictive modelling, and forecasting, but you’re also in-the-know when it comes to the technical side of things, like data warehousing, data modelling and ETL.

We’ll get to the nitty gritty description of your skills soon, but first we’ll tell you a bit more about why we chose to join Blendle ourselves. These were the most important reasons for us, in random order:

1. What Blendle does is important

Journalism is an essential part of every society, but newspapers and magazines see their revenues drop. Every day, fantastic articles are published – much better than the ones you’ll find on free websites – yet fewer people have subscriptions, and therefore more journalists are getting fired. At Blendle, we want to tap into a new revenue source for newspapers and magazines.

2. And at the same time, we’re making people happy

Because they can now easily access brilliant articles, without having to get a subscription to every single publication. We find it awesome to build a product that’s used by 1,000,000 people at this stage, which will hopefully be used by even more people soon.

3. A fun team

Blendle employs nearly 100 people now, and the atmosphere is great. Below you’ll find some pictures of our office, and our weekend getaways:

4. The freedom

We expect you know best how to unlock your full potential, and don’t need any rules for that. Roland for example kicks off his day on an idyllic balcony in Rotterdam with his laptop on his lap, and Jean likes to work at night, talking to himself in our chat program while he’s programming.

5. Freebies

On top of a monthly donation to a bank account of your choice, we take good care of you in the office. Every day, lunch is prepared with love, and we’re happy to fix dinner or a massage when needed. Don’t live in Utrecht? Then we’ll cover the expenses for the thing that gets you here: either public transport, or your dear fuel-sipping car.

Alright, here comes our wish list:

We’re looking for someone who has experience with (or is very eager to learn about) creating and maintaining data warehouses. We’ve built a scalable warehouse according to the dimensional modelling method by Kimball ourselves. Cool if you’re excited about that. But if you’re more convinced about a different warehouse technique, we’d love you to convince us.

ETL is right up your street, so you can answer this: how can we collect all data from all different sources, in different formats, in one place? You’ll take charge when deciding between the different techniques, and won’t be distracted by what we currently use. Basically, you’re a little stubborn, but open to other people’s valid arguments. You’ll be dealing with pretty much everyone in the company, so good communication is key. The backend, frontend, and apps all deliver data, and it’s up to you to be critical when needed to keep the warehouse from becoming a mess.

Finally: we use end-to-end tests (with cucumber) for most parts of the ETL. Knowledge of this is not an absolute must, but we will say that we are pretty excited about it at Blendle.

Still here? Great.

Resumés explaining what high school you went to, or what supermarket you mopped the floors of, are not really our thing. Hit the button and we will contact you!