Questa posizione è in Klarna
Il processo di selezione sarà interamente gestito Klarna.
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### 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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📌 Lead Data Engineer (Milano)
🏢 Klarna
📍 Milano