Full Stack Data Platform Engineer

Context

We are looking for a Full Stack Data Platform Engineer to join our 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.

Missions

• Develop automation, tooling, and platform engineering solutions using Python and Shell scripting.
• Implement and manage infrastructure using Terraform and Infrastructure as Code (IaC) principles.
• Operate and troubleshoot within the AWS ecosystem, including networking, IAM, compute, storage, and other core cloud services.
• Deploy, operate, and troubleshoot containerized applications using Kubernetes (K8s) and Amazon EKS.
• Design, develop, and maintain CI/CD pipelines using Git (preferably Bitbucket).
• Administer Snowflake, including security model, role-based access control (RBAC), privileges, resource hierarchy, and object lifecycle management.
• Provision and manage Snowflake resources using Infrastructure as Code (Terraform), focusing on automated environment provisioning, permission management, and platform governance.
• Apply software engineering best practices such as version control, code reviews, testing, automation, and operational excellence.
• Collaborate effectively in a cross-functional environment with strong analytical, troubleshooting, and communication skills.

Tools & Environment

• Python, Shell scripting
• Terraform, Infrastructure as Code (IaC)
• AWS cloud services (networking, IAM, compute, storage)
• Kubernetes (K8s), Amazon EKS
• Git (Bitbucket preferred), CI/CD pipelines
• Snowflake administration and Terraform provisioning
• Software engineering best practices

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

Assessment Criteria

• Candidate possesses the required competencies (hard and soft skills) and cultural fit with the company’s mission and vision (up to 25 points)
• Candidate has performed similar assignments/projects elsewhere (up to 20 points)
• Candidate has prior experience with public sector clients (up to 20 points)
• Candidate is quickly operational due to previous experience with the company (up to 20 points)
• Candidate speaks and writes the two national languages at business level (up to 15 points)

1. Strong proficiency in Python and Shell scripting for automation, tooling, and platform engineering
2. Hands-on experience with Terraform and Infrastructure as Code (IaC) principles
3. Deep understanding of the AWS ecosystem, including networking, IAM, compute, storage, and other core cloud services
4. Solid experience with Kubernetes (K8s) and Amazon EKS, including deploying, operating, and troubleshooting containerized applications
5. Proficiency with Git (preferably Bitbucket) and experience designing, developing, and maintaining CI/CD pipelines
6. Good understanding of Snowflake administration, including security model, role-based access control (RBAC), privileges, resource hierarchy, and object lifecycle management
7. Experience provisioning and managing Snowflake resources using Infrastructure as Code (Terraform), with understanding of automated environment provisioning, permission management, and platform governance
8. Strong understanding of software engineering best practices, including version control, code reviews, testing, automation, and operational excellence
9. Excellent analytical, troubleshooting, and communication skills, with ability to work effectively in a collaborative, cross-functional environment
10. Preferred: Experience with Java and the Spring Boot ecosystem
11. Preferred: Knowledge of Apache Kafka and event-driven architectures
12. Preferred: Experience with cloud-native data platforms, DevOps practices, and platform engineering