Data Platform Engineer (m/f/d)
Core
Design, build, and maintain scalable data platforms and AI infrastructure to support analytics and machine learning initiatives across the Liebherr Group.
Role type
Senior Data Platform Engineer
Builds
Secure, scalable data platforms, AI infrastructure, and data ingestion pipelines
Domain
Industrial manufacturing / Cloud data engineering
Deliverable
production ML models | infrastructure
Required skills
Cloud platform engineering, distributed systems development, CI/CD pipeline design, infrastructure as code, data lake architecture, container orchestration, SQL/NoSQL database management, Python or Go programming
Preferred skills
Databricks/Spark expertise, Terraform/Terragrunt proficiency, GitHub Actions experience, data observability implementation, security policy enforcement
Technologies
Azure, AWS, Docker, Kubernetes, Databricks, Spark, Terraform, Terragrunt, GitHub Actions
Responsibilities
Extend analytics and AI infrastructure, maintain platform stack with security and monitoring measures, build tools and processes for data ingestion, enable colleagues with blueprint architectures, support data scientists and engineers with tooling
Seniority
Senior, hands-on IC