Full-Time

Data Platform Engineer – Mid-Level

FlixMobility

FlixMobility

No salary listed

Berlin, Germany

Hybrid

Hybrid role with in-office Berlin presence; up to 60 days per year remote.

Category
DevOps & Infrastructure (1)
Required Skills
Datadog
Kubernetes
Python
Apache Kafka
AWS
Terraform
Snowflake
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
Responsibilities
  • 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
Desired Qualifications
  • 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

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