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Salary
$99k – $112k per year
Location
In office (Stockholm)
Seniority
Staff
Employment
Full-Time
Overview
Company
Impact
Profile match
Klarna is a Swedish financial technology company founded in Stockholm in 2005 that provides payment and shopping services to consumers and merchants worldwide. Its core products let shoppers pay immediately, defer a payment or split a purchase into interest-free instalments, while merchants receive settlement, fraud protection and conversion tooling through a single checkout integration. The group has expanded into a shopping app with price comparison, cashback and a bank offering, holds a European banking licence and listed its shares on the New York Stock Exchange in 2025.

What you will do

  • Build and operate Klarna's analytical data processing platforms on AWS, supporting large-scale batch and analytical workloads.

  • Design robust data pipelines, table structures, and access patterns enabling efficient analytics, model training, and downstream consumption.

  • Continuously evolve platform architecture, infrastructure, and AWS account foundations to support long-term scale, cost efficiency, security, and reliability.

  • Lead the design and implementation of core data processing systems using technologies such as AWS Glue, Spark, S3, Iceberg, Databricks, and Redshift.

  • Set a high bar for code quality, maintainability, and operational excellence, acting as a role model for best practices in the domain.

  • Drive architectural decisions with a holistic view of Klarna's data landscape, downstream consumers, and cross-team dependencies.

  • Design and evolve IAM models, roles, and access patterns to enable secure and scalable use of data platforms across teams and accounts.

  • Identify and solve complex problems related to performance, scalability, cost, security, and compliance.

  • Act as a technical leader in cross-team initiatives, facilitating discussions, aligning stakeholders, and delivering production-ready solutions.

Who you are

  • Strong experience building analytical data platforms on AWS, including Spark-based processing and S3-backed data lakes.

  • Solid hands-on skills with Python, distributed data processing, and infrastructure-as-code (Terraform).

  • Experience working with modern table formats (e.g. Iceberg) and data warehouses (e.g. Redshift).

  • Experience designing and operating IAM and AWS account setups for data platforms, balancing security with developer usability.

  • A product-oriented mindset, focused on building durable, scalable solutions rather than one-off pipelines.

  • Experience operating systems in production and improving them through monitoring, incident learnings, and iteration.

    Please include a CV in English.

    Curious to learn more about Klarna and what it’s like to work here? Explore our career site!

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