Data Warehouse Developer
Who we are
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 2000 employees working across Europe and the US. We currently serve 60 million consumers, work together with 90,000 merchants and process more than a million payment transactions a day. We are growing at 40% year on year and our investors include Visa, Atomico, Sequoia Capital, Permira and Bestseller group/ Anders Holsch Povlsen. We have strong partnerships with some of the world’s leading brands, such as ASOS, IKEA, Adidas, Zara, Lufthansa and Spotify.
To find out more about what it's like to work at Klarna: klarna.com/careers
What you will do
We offer the rare opportunity to curate the whole data journey in a big fintech company. You will work in the Data Domain and enable Klarna to understand, predict and make the right decisions based on large, fast, structured, unstructured and growing amounts of data.The data journey starts in the data producing systems, then travels through the Data Lake, is refined in the Data Warehouse and presented to both internal and external users in the BI Applications. You love solving complex problems, challenging the batch models written, optimizing data models and writing SQL queries. You encourage a social environment at work and share energy and inspiration to your teammates.
Your stakeholders will be Data Scientists, Business Analysts, other Engineers 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 and languages we use are AWS Glue (Spark), AWS Redshift, Apache Airflow, and Qlik Sense. 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
- Experience as a Data Warehouse developer or comparable position
- Experience working with SQL, databases and BI tools. We really like SQL!
- Working proficiency and communication skills in verbal and written English
- A burning curiosity and interest in data, fast data, big data, dark data, data governance, data models, data warehouse, data insights - or all of the above!
How to apply
Send over a CV and cover letter in English.
We can offer you an international working environment filled with smart and ambitious colleagues. We know that diverse teams are strong teams, so we welcome those from different backgrounds and experiences. As part of one of Europe’s fastest growing companies, you'll help play an important role in taking Klarna to the next level.