Full Stack Data Platform Engineer

Our client is looking for a Full Stack Data Platform Engineer to join their Data Platform team. The ideal candidate is passionate about building and operating cloud-native data platforms, with a strong engineering mindset and hands-on experience across infrastructure, automation, and software development. Key responsibilities and required skills: strong proficiency in Python and Shell scripting for automation, tooling, and platform engineering; hands-on experience with Terraform and Infrastructure as Code (IaC) principles; deep understanding of the AWS ecosystem, including networking, IAM, compute, storage, and other core cloud services; solid experience with Kubernetes (Kubernetes/K8s) and Amazon EKS, including deploying, operating, and troubleshooting containerized applications; proficiency with Git (preferably Bitbucket) and experience designing, developing, and maintaining CI/CD pipelines; good understanding of Snowflake administration, including its security model, role-based access control (RBAC), privileges, resource hierarchy, and object lifecycle management; experience provisioning and managing Snowflake resources using Infrastructure as Code (Terraform), with an understanding of automated environment provisioning, permission management, and platform governance; strong understanding of software engineering best practices, including version control, code reviews, testing, automation, and operational excellence; excellent analytical, troubleshooting, and communication skills, with the ability to work effectively in a collaborative, cross-functional environment.

Preferred qualifications (nice to have): experience with Java and the Spring Boot ecosystem; knowledge of Apache Kafka and event-driven architectures; experience with cloud-native data platforms, DevOps practices, and platform engineering.

Job specifications: ID 14001, duration 21-09-2026 to 30-09-2027, location Brussels, type Freelance.