At Klarna, we are obsessed with our consumers. Klarna has 90M active consumers and the teams are empowered to make their shopping experience smoooth. Our team’s vision is to empower our clients and partners with data in order to make the best risk assessment of consumers. It is fascinating and challenging to have 50+ providers in 17 markets processing transactions in 3 digit millions and increasing rapidly! Our customer obsession drives engagement and loyalty and we want to hold our consumer promises. Hence, we are looking to build a new team as well as expand the current team to provide data in a consistent and reliable manner to our consumers and partners for their financial well being. It is a fantastic challenge as each Klarna team operates like a mini company with its own vision, goals and P&L. Teams are fully accountable for creating and delivering value to our consumers and they are responsible for upholding our vision, values and commitment to disruption. We are looking for analysts and engineers who have a passion for developing a team, engaging people and designing solutions towards the team goals. Do you enjoy the excitement of building a team and service from the ground up? If you are interested in this opportunity, please feel free to contact me directly. Let’s have a chat!

- Building a data pipeline (real-time/batch) & Serverless DWH for ad-tech business (Kaufda/Meinprospekt/Bonial.com) on top of AWS infrastructure- Programming in Python/Scala/Java- Utilizing AWS stacks such as Kinesis, Lambda, S3, Redshift- Orchestrating batch processing jobs on Apache Airflow

- Building analytics data pipeline (batch) to process telco data using Apache Spark, ScyllaDB- Programming in Python- Geolocation Analytics using python geo libraries and tools such as QGIS, shapefiles - A few tera-byte of data coming-in per day- Implementing spark jobs with algorithms in geospatial analytics, teaming up with data scientists

- Developing a real-time messaging system to process data from telecom network elements using Apache Kafka, (internally built) NoSQL Database and (internally built) Stream Processing Engine - Programming in Java- Working in a small and international team with around 10 members (joint project with American Telekom)- Integrating Diameter Server written in C with a Java-based system via JNA- Processing binary data comes from Diameter Server into a readable format

- Developing a Master Data Management System for enterprises- Working in a middle-sized team with around 15-20 members- Programming in Java, bash, JavaScript, SQL, HTML/CSS - Using internally built backend framework/scheduler & tools such as Maven / Eclipse / Git- Monitoring application & database servers

- Programming in C#, SQL - System Operation Assistant - Supporting sales team for Japanese companies