Senior Data Engineer (m/w/d) On-Premises & Kubernetes
Core
Design and develop a modern on-premises data platform, focusing on data orchestration, deployment automation, and integration of data-driven workloads.
Role type
Senior Data Engineer (On-Premises & Kubernetes)
Builds
Batch and streaming data pipelines, platform services, and Kubernetes-integrated data workloads.
Domain
Data Engineering, On-Premises Infrastructure, Kubernetes
Deliverable
production ML models | product features | infrastructure
Required skills
Data platform architecture, Data orchestration, Kubernetes, Linux, Python, SQL, Batch processing, Streaming processing, Data cataloging, Data versioning, Cloud-native architecture concepts.
Preferred skills
Go, Java, Bash, Kafka, Flink, Spark, Airflow, Dagster, S3, Apache Iceberg, AI-assisted development tools.
Responsibilities
Design and develop modern on-premises data platforms, Develop solutions for data orchestration and platform automation, Implement batch and streaming data pipelines, Integrate data-driven workloads into Kubernetes environments, Work with lead architects and infrastructure/security teams.
Seniority
Senior, hands-on IC
