Big Data Engineer

About Klarna

Klarna was founded in Stockholm, Sweden in 2005. Since then we've changed the banking industry forever. And now we're creating the world's smoothest shopping experience. We serve over 90 million consumers worldwide, and partner with 250,000 merchants – with a new merchant joining us every 8 minutes. Including some of the world's leading brands, such as H&M, ASOS, IKEA, Adidas, Samsung and Lufthansa. Our offices are spread over 17 different markets, hosted by 5000+ employees from 100+ nationalities.

Engineering at Klarna is an inspired, customer focused community, dedicated to crafting solutions that redefine our industry. Working in small, highly collaborative Agile teams, you and your team will have a clear mission and ownership of an important outcome that supports Klarna and our customers. At Klarna we optimise for quality, flow, fast feedback, focusing on end-to-end ownership, continuous improvement, testing, monitoring and experimentation. We aim for teams that are inclusive, helpful, and have a strong sense of ownership for the things they build.

Our engineers make some of the most significant decisions for the company and we are looking for bold, open and curious developers. As a Klarnaut, you’ll be inspired to contribute to the growth of Europe’s most highly valued fintech and your work will reach millions of users.

What you’ll get to do

As a data engineer you will work in a team that is end to end responsible for data services, where a data service spans from management dashboards, data warehousing, real time decisioning pipelines to frameworks for data quality measures. You will typically take the role of building and running data pipelines, data warehouse, data frameworks or different data presentation techniques.

Your stakeholders will be Data Scientists, Business Analysts, other Engineers building Insights and all Klarna employees that need data in their daily work. We have amazing teams that take care of and become experts at different parts of the domain where sharing and collaboration are key.

Some of the technologies you’ll get to work with

  • SQL
  • PySpark
  • AWS (Redshift, S3, Glue, EMR)
  • Apache Airflow

  • We try to be SQL and code focused, and we are always looking for the most efficient tool for the job.

You should have

  • Relevant education with a degree in engineering or comparable skills
  • 5+ years of experience as a Data Engineer or comparable positions
  • Experience in some or all of the following technologies: Spark, Hadoop, AWS EMR, AWS Redshift, AWS Glue, Qlik Sense, Postgres, Python, Scala
  • Working proficiency and communication skills in verbal and written English
  • A burning curiosity and interest in data, fast data, big data, data governance, data models, data warehouse, data insights - or all of the above!

What we can offer you

Culture - You'll have an opportunity to work with people from 90+ different countries in our English speaking offices in Stockholm/Berlin city center.

Learning - We have a learning and development focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.

Compensation - You’ll receive an attractive salary, pension, and insurance plans, plus we offer all of our employees an opportunity to invest in a RSU program and own a stake of the company. You’ll also receive 30 days annual leave and since we recognize that life is about more than work, we also offer benefits for gym memberships, marathons, and all sorts of activities that promote physical health. We also have generous parental leave (for men and women).

Relocation - We can offer relocation support to Stockholm. 
We know diverse teams are strong teams, so we welcome those with alternative identities, backgrounds, and experiences. Our teams include women, men, mothers, fathers, the self-taught, the college-educated, and people from all over the world.

We also believe in making contributions back to the open source community. You can find some of our work at https://github.com/klarna.

How to apply: please send us your CV or Linkedin profile in English.


Klarna is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates. Please refrain from including your picture and age with your application.