Senior Data Engineer (m/w/d) On-Premises & Kubernetes
Core
Design and develop a modern on-premises data platform, including data orchestration, deployment automation, and batch/streaming pipelines.
Role type
Senior Data Engineer (On-Premises & Kubernetes)
Builds
On-premises data platforms, data orchestration solutions, batch and streaming pipelines, platform services
Domain
Data Engineering, Cloud-Native Architecture, On-Premises Infrastructure
Required skills
Python, SQL, Kubernetes, Linux, Data Pipelines, Data Orchestration, Batch Processing, Streaming Processing, Data Cataloging, Data Versioning, S3-compatible Storage, Apache Iceberg, Kafka, Flink, Spark, Airflow, Dagster, Go, Java, Bash
Preferred skills
Experience with modern data engineering technologies, understanding of cloud-native architectures, interest in on-premises and edge data platforms, analytical thinking, independent work, solution-oriented approach
Technologies
Kubernetes, Linux, Python, SQL, Kafka, Flink, Spark, Airflow, Dagster, S3, Apache Iceberg, Go, Java, Bash
Responsibilities
Design and develop a modern on-premises data platform, develop solutions for data orchestration and platform automation, implement batch and streaming data pipelines, integrate data-driven workloads into Kubernetes environments, work with data catalogs and data versioning, develop proofs of concept and evaluate new technologies
Seniority
Senior, hands-on IC
