We're looking for a Data Platform Engineer (m/f/d) to join our team and help build and operate the data infrastructure that powers Flix's mobility platform.
At FlixTech, our data platform enables teams across the company to process, analyze, and act on large volumes of mobility data. The platform supports critical use cases such as network planning, pricing, operations, and business analytics. You will work on scalable infrastructure that processes millions of daily events and ensures reliable data availability across the organization.
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.
About the Role
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
About You
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
Nice to have
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!