3+ years of experience building or operating data infrastructure or data platforms Hands-on experience with streaming technologies such as Kafka and data warehouses like Snowflake Experience with Infrastructure as Code tools (e.g., Terraform) and CI/CD pipelines (e.g., GitLab) Practical experience with cloud platforms (preferably AWS) and container platforms such as Kubernetes Experience with monitoring and observability tools (e.g., Datadog or similar) Solid programming skills in Python and interest in writing clean, maintainable code Strong collaboration and communication skills when working with technical and business stakeholders Fluent in English Experience with advanced SQL or data transformation tools (e.g., dbt) Experience with data processing frameworks (e.g., PySpark) Knowledge of security and networking concepts relevant for data platforms We recognize that everyone carries a unique set of valuable skills and experiences. If you think you could have an impact even though you don''t meet 100% of the requirements, we still encourage you to apply. We want to hear from you!

You’ll be part of a cross-functional engineering environment collaborating with data analysts, data scientists, and platform engineers. The role focuses on building reliable, scalable data systems and enabling other teams to work efficiently with data. Design, build, and maintain scalable data infrastructure running on AWS and Kubernetes Develop and operate streaming and data platform components using technologies such as Kafka and Snowflake Implement monitoring, alerting, and operational tooling to ensure platform reliability and performance Own features end-to-end, including development, testing, deployment, monitoring, and maintenance Build and maintain Infrastructure as Code using Terraform and GitLab CI/CD Collaborate with data analysts, data scientists, and stakeholders to support data platform use cases Contribute to improving platform reliability, automation, and engineering practices Participate in on-call rotations to support the stability of the data platform