Data Platform Engineer (m/f/d)
Core
Designing and maintaining a scalable data ecosystem on Databricks to transform raw data into actionable insights for the Liebherr Group.
Role type
Senior Data Platform Engineer
Builds
A unified, secure, and scalable data platform enabling AI initiatives and data analysis across the organization.
Domain
Industrial manufacturing (Liebherr Group) / Cloud Data Engineering
Deliverable
infrastructure
Required skills
Databricks, Apache Spark, cloud infrastructure (Azure/AWS), container orchestration (Docker/Kubernetes), CI/CD pipelines, Infrastructure as Code (Terraform/Terragrunt), distributed systems, Python, GoLang, SQL, NoSQL databases
Preferred skills
Data Science fundamentals, Machine Learning tooling
Technologies
Databricks, Azure, AWS, Docker, Kubernetes, GitHub Actions, Terraform, Terragrunt, Python, GoLang
Responsibilities
Extend analytics and AI infrastructure, drive platform evolution by integrating new technologies, implement security and observability measures, build automation tools for data ingestion, provide architectural guidance to data teams, support data scientists and engineers with tooling
Seniority
Senior, hands-on IC