Data Engineer (m/w/x) Wien, Vollzeit (38,5 Stunden/Gleitzeit)
Core
Designing, optimizing, and maintaining data pipelines that support BI reports, internal APIs, and product functions for the media industry.
Role type
Data Engineer with architectural input
Builds
Batch data pipelines, data models, and containerized workloads on Google Cloud Platform
Domain
Media industry, Data Engineering, Cloud Infrastructure
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL (query optimization, modeling), Python, Google BigQuery, Workflow orchestration (Prefect), dbt, Docker, Infrastructure as Code (Terraform)
Preferred skills
Kubernetes, Java, Data testing frameworks, Monitoring and Observability
Technologies
Google Cloud Platform, BigQuery, Prefect, dbt, Docker, Kubernetes, Terraform, GA4, SAP, Piano
Responsibilities
Design and optimize batch data pipelines; Develop and maintain data models in Google BigQuery; Orchestrate workflows efficiently; Prepare structured datasets for BI reports and APIs; Maintain and improve containerized workloads; Collaborate with external infrastructure providers; Ensure pipeline reliability and system state
Seniority
Mid-level (3+ years experience), hands-on IC
