Data Platform Engineer (Mid-Level) (m/f/d)

About This RoleAI processing…

Key Responsibilities

• 1
  Design, build, and maintain scalable data infrastructure running on AWS and Kubernetes
• 2
  Develop and operate streaming and data platform components using technologies such as Kafka and Snowflake
• 3
  Implement monitoring, alerting, and operational tooling to ensure platform reliability and performance
• 4
  Own features end-to-end, including development, testing, deployment, monitoring, and maintenance
• 5
  Build and maintain Infrastructure as Code using Terraform and GitLab CI/CD
• 6
  Collaborate with data analysts, data scientists, and stakeholders to support data platform use cases
• 7
  Contribute to improving platform reliability, automation, and engineering practices
• 8
  Participate in on-call rotations to support the stability of the data platform

Requirements

• 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

Perks & Benefits