Lead Data Engineer

Klarna; Milano; Presencial; EUR 90.000 - 130.000; Jornada completa

Descripción de la vacante

Klarna in Milano is seeking a Senior Data Platform Engineer to build and operate analytical data processing platforms on AWS, enabling large-scale batch and analytical workloads. You will design robust data pipelines, table structures, and access patterns for analytics, model training, and downstream consumption, while evolving architecture for scale, cost efficiency, security, and reliability.

The role emphasizes leadership in cross-team initiatives, secure IAM models, and production-grade

Formación

• Built analytical data platforms on AWS with Spark-based processing.
• Python and Terraform expertise.
• Experience with Iceberg and Redshift.
• IAM and multi-account data platform design.

Responsabilidades

• 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.

Conocimientos

AWS

Spark

Python

Terraform

IAM

Data Lakes

Databricks

Iceberg

Redshift

Herramientas

Iceberg

Redshift

Databricks

Descripción del empleo

• 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.

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.