About Us

With over 85 million global active users and 2,5 million transactions per day, Klarna is on the way to becoming the world’s favorite way to shop. To help us get there, we’re assembling an unparalleled global talent team—accelerating individual careers, and disrupting entire industries. We’re looking for people ready to achieve the extraordinary and embrace our bold ambitions as we shape the future of payments and fintech. Will you join us?

What You Will Do

• Work with increasingly large volumes of data on resilient modern data infrastructure
• Own data products end to end
• Design and implement analytically suitable data structures from complex service data
• Advise upstream/downstream stakeholders on getting the best value out of our data, always with security, compliance, efficiency and standardization at front of mind
• Be an integral part of a team, in addition to its culture and ways of working. Common practices include agile methodologies, pair and mob programming
• Succeed, fail, and learn together with other talented people.
• We believe in an environment that provides an opportunity for growth and see education as an outcome of failure that gets us closer to the next breakthrough
  

Who You Are

• Strong working knowledge in data processing languages like SQL and Python Experience with Spark preferable
• Solid understanding of query and compute engines
• Experience in query design with consideration for platform
• Familiarity with dataset design practices and implementation strategies for multiple use cases (batch based analytics vs streaming)
• Understanding of common analytical practices & methods, and proficiency in one or more languages used by analysts (Python, R, etc.)
• Strong business acumen and product oriented thinking
• Strong communication skills, with emphasis on being able convey technical topics to differing levels of understanding and work closely on common problems with analyst and data science counterparts, in English
• A burning curiosity to learn, own, relay and leverage the stories told by our data

Awesome to Have

• Data processing languages: SQL, Python, Pyspark, dbt
• Analytical tooling such as Jupyter Notebooks.AWS (Redshift, S3, Glue, EMR)
• Data ingestion and streaming tools such as Kafka, Flink, Kinesis Firehose, Apache Airflow
  

Please include a CV in English.

Klarna's Compensation model and Equity Offering
At Klarna, our compensation package includes a base salary and Restricted Stock Units (RSUs). To ensure fairness and maintain global market competitiveness, each role in a specific location has a set base salary. During the recruitment process, we will assess your skills and experience to determine which role is the best fit for you.
Our RSU program features a 4-year vesting schedule, allowing you to gradually become a shareholder in Klarna. Additionally, you may qualify for our Contribution-Based Reward (CBR) program, which recognizes and rewards significant contributions to our success.