Data Engineer

  • Klarna
  • Berlin, Germany
  • 19/06/2024
Full time Forex Fintech Analysts IT - Software Development

Job Description

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 optimize 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 one of the World's most highly valued fintech, and your work will impact the lives of our millions of users.

We're expanding several of our engineering teams, including; teams working on our core checkout product, payment services, fraud prevention, or improving our billing service and shipping credentials to name a few.

Help us make shopping online even more smoooth!

What You'll Get To 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

You Should Have

  • 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

Some Of The Technologies We Work With

  • 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

Since 2005 Klarna has been on a mission to revolutionize the retail banking industry. With over 150 million global active users and 2 million transactions per day, Klarna is meeting the changing demands of consumers by saving them time and money while helping them be informed and in control.

Over 450,000 global retail partners, including H&M, Saks, Sephora, Macys, IKEA, Expedia Group, and Nike have integrated Klarna's innovative technology to deliver a seamless shopping experience online and in-store. Klarna has over 3,500 employees and is active in 45 markets.