Data Engineer


This is Floryn

Floryn is one of the fastest growing fintech companies in the Netherlands. We provide credit to businesses. We aim to be the most responsible, scalable and customer-friendly online lender in Europe. Therefore we use technology in everything we do. We’ve lent out over € 100 million since inception and have processed over € 700 million in transaction volume. In other words, we’re building the digital business lending bank of the future. We do things our own way, we ship code to customers every day and we take pride in our work.


Data drives all our decisions, both manual and automatic: from marketing, sales and customer experience to risk, finance and business analytics. Most of our data is geared towards deciding whether we can help a business by offering a suitable loan. Quite an important decision with big real life consequences for people.

To further strengthen our academic connections and to provide a perfect community for innovation we are located in the same monumental building as the Jheronimus Academy of Data Science (JADS) in ‘s-Hertogenbosch, which hosts Bachelor and Master Data Science education tracks and is part of the Technical University of Eindhoven and the University of Tilburg.


What you can tell people you do

You do really complicated things with more data than you can fit inside your head (or your computer). With your data engineering skills, you ensure that we can continue to send millions of euros around!


What you really do

You own our data by ensuring its availability, completeness and validity from the point where it is generated till where it is consumed. Our hierarchy is flat and communication is direct, therefore we can operate quickly and adapt dynamically. You work closely with the Data and Development teams to ensure that we have high-quality data available at all times. You’ll develop and maintain new and existing data pipelines so that they become more scalable, secure and efficient. You strive to find new insights in our data to make better decisions.



We have a technology neutral mindset to engineering and believe in well-tested, robust code. We use AWS extensively but are open to all kinds of platforms. Our platform is built mostly using Ruby, PostgreSQL and Javascript. Our Data team uses Python, Spark, Pandas, Serverless, Looker and more. We are using Machine Learning models in production and are aware of all the infrastructure around these models that is needed for them to perform well. We leverage open source technologies where we can.



  • You like working with large sets of data and love digging into it and discovering things.

  • You write efficient, well-tested code with a keen eye on scalability and maintainability

  • You have experience designing, developing and maintaining data systems at scale

  • You have a strong technical background and are well versed in Python

  • You have experience in building data pipelines, for example using Spark, Pandas, Airflow, PostgreSQL, Redshift, or other technologies.

  • You have experience with cloud infrastructures of AWS or GCP (we use AWS currently)

  • You like running and supporting lots of experiments, constantly testing new hypotheses


  • An important position with a lot of potential in a fast growing company

  • Great coffee, great lunch and a lifestyle that we like to call ‘Bourgondian’ ;-)

  • Go to workshops, meetups, conferences on our budget

  • MacBook Pro and all the other gear you might need

  • Generous travel allowance, 1st class train card or €0,19 per km and parking

  • 25 days paid holidays and holiday allowance

  • A fantastic office in the center of ‘s-Hertogenbosch, flexible working hours and partly remote options