Flix
DataPlatformEngineer(Mid-Level)(m/f/d)
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optimal for Mid-Level candidates.
“Data Platform Engineer (Mid-Level) (m/f/d) at Flix. Skills: Data Platform Engineering, AWS, Kubernetes, Kafka, Snowflake. Design scalable data infrastructure. Build scalable data infrastructure”
Industry & Context.
On-call rotations
What They're Looking For.
Must Have
3+ years experience data infrastructure, Hands-on streaming technologies, Hands-on data warehouses, Experience Infrastructure as Code, Experience CI/CD pipelines, Practical cloud platforms experience, Practical container platforms experience, Experience monitoring observability tools, Solid programming skills Python, Fluent in English
Nice to Have
Experience advanced SQL, Experience data transformation tools, Experience data processing frameworks, Knowledge security concepts, Knowledge networking concepts
What You'll Do.
Design scalable data infrastructure
Build scalable data infrastructure
Maintain scalable data infrastructure
Develop streaming components
Operate streaming components
Develop data platform components
Operate data platform components
Implement operational tooling
Own features end-to-end
Build Infrastructure as Code
Maintain Infrastructure as Code
Collaborate data analysts
Collaborate data scientists
Collaborate stakeholders
Support data platform use cases
Contribute improving platform reliability
Contribute improving automation
Contribute improving engineering practices
Participate on-call rotations
How You'll Work.
Team & Collaboration
Cross-functional engineering environment; Collaborating data analysts; Collaborating data scientists; Collaborating platform engineers; Working technical stakeholders; Working business stakeholders
Communication Scope
Working stakeholders
Full Job Description
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
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