Senior Data Engineer*
Core
Design and development of a local data platform for intelligent software and hardware solutions in automation, drive, and control technology, focusing on edge data management without public cloud dependencies.
Role type
Senior Cloud-Native Data Engineer
Builds
Local data platform, data orchestration, streaming pipelines, and Kubernetes-based workloads
Domain
Industrial automation, edge computing, cloud-native infrastructure
Deliverable
production ML models
Required skills
Kubernetes, Linux, Python, Golang, SQL, Bash, Java, Apache Spark, Apache Kafka, Apache Flink, Apache Airflow, S3, Apache Iceberg, GitOps, NATS.io, Risingwave, Dagster
Preferred skills
Cursor.ai, low-level performance concepts (NUMA, Core Pinning), Kappa or Medallion architecture patterns
Responsibilities
Conceptualize and develop local data platform components; implement batch and streaming data pipelines; integrate workloads on Kubernetes and S3-compatible storage; investigate data catalogs and versioning; create Proof-of-Concepts using AI agent tools; collaborate with architects and security teams
Seniority
Senior, hands-on IC