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Klarna

Lead Data Engineer

Klarna Milan, Lombardy, Italy · €74K–€84K/yr

Software Development · 1,001-5,000 employees

12 h ago
data-engineer Senior (5-10 yrs) Full-time Italy
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About the role

You will design and operate large-scale analytical data processing platforms on AWS using technologies like Spark, Databricks, and Redshift. You will also lead architectural decisions and implement secure IAM models to ensure scalable and reliable data infrastructure.

What they look for

AWS Data Engineering Spark Python Terraform Iceberg Databricks Redshift Data Pipelines IAM Infrastructure-as-code Data Lakes Distributed Systems Cloud Architecture SQL

Requirements

The role requires strong experience in building analytical data platforms on AWS and proficiency in Python, Spark, and infrastructure-as-code tools like Terraform. Candidates should have a product-oriented mindset with experience in operating production systems and managing data lake architectures.

Full description

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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