Data Engineer - Python

Klarna’s mission is to free people from all the meaningless time spent managing money and purchases, so they can do more of what they love. Every day at Klarna we help consumers, merchants, and partners to explore just how smoooth the modern purchase experience can be. Our position at the crossroads of payments, consumer financing, ecommerce and banking means we are uniquely positioned to do this. There is no label for what we do. 

Klarna was born in Stockholm in 2005 and today has 2500 employees working across Europe and the US. We currently serve 60 million consumers, work together with 130,000 merchants and process more than a million payment transactions a day. We're growing at 40% every year and our investors include Visa, Atomico, Sequoia Capital, Permira and Bestseller group/ Anders Holch Povlsen. We have strong partnerships with some of the world’s leading brands, such as ASOS, IKEA, Adidas, Zara, Lufthansa and Spotify. 

We at Klarna are looking for driven and energetic Data Engineers who also happen to like Python in order to join our engineering hub in Berlin. 

Our mission is to make payments as smooth as possible, reducing the friction you are facing when you purchase goods online. Our secret sauce to achieve this, is our ability to provide credit in real-time. If you want to learn more on how it is done, there is a great opportunity to join us, aim for awesomeness  and write history.

We are currently serving 80 million customers and we are growing with a rate more than 40% annually, so there are very big opportunities having a massive impact in one of the very few profitable unicorns out there. 

Who you are

  • Klarna is looking for ambitious people with significant drive! You should be passionate about your job and enjoy a fast paced international working environment.
  • You will play an important role in taking Klarna to the next level thus, you should desire to go above and beyond to produce best work results!
  • At Klarna we embrace change, you should dare to challenge the status quo and be persistent.

What we expect from you

  • Drive, this is an essential attribute if you want to thrive in Klarna’s fast moving environment
  • Optimism, being a source of can-do optimism will be crucial for the whole undertaking and the teams you will be collaborating
  • Passion about building data platforms and pipelines
  • Develop and optimize a unified data landscape from architecture to development and Optimization in an distributed infrastructure
  • Build, maintain and improve the availability of historical, real time and third parties data pipelines
  • Continuously improve our ELT and ETL processes for the data lakes and data warehouses behind
  • Provide Analysts, Product Managers and BI with complex, large scaled data storage from various data resources
  • Knowledge and the desire to quickly acquire deep knowledge of the big data tool landscape
  • Knowledge of Python or another commercial language used for data processing like Scala

You should have

  • Relevant experience in scripting and programming using Python
  • Expert knowledge of SQL and ideally some knowledge/understanding of NoSQL or Postgres
  • Proven record in the creation, maintenance and improvement of ETL and ELT processes
  • Experience with interfaces such as RESTful APIs or RSBScript
  • A very strong technical as well as analytical background
  • A proven record of working within distributed infrastructures and experience in Cloud technology

What you can expect from us

  • A competent compensation package, based on your skill level
  • 6 weeks of paid holidays
  • A practically unlimited potential to develop and grow, both personally and professionally
  • Unlimited budget for personal development, including books, conferences and workshops
  • Amazing relocation package to Berlin, Germany
  • Generous pension and insurance plans
Code in your spare time?

Great, send over a link to some of your work. We'd love to take a look. Here’s some of our work https://github.com/klarna

Klarna is an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. If you have a disability or special need that requires accommodation, please let us know.

If it sounds good, go ahead and contact us! We are looking forward to hear from you!