CareerPlan

Data Engineer (m/w/d)

Dresden, SACHSENFull-time2026-10-23 → 2026-11-10

Core

Designing and developing an on-premises data platform with batch and streaming pipelines, orchestration, and automation for security-relevant systems.

Role type

Data Engineer (Cloud Native / On-Premises)

Builds

On-premises data platforms, data orchestration components, batch/streaming pipelines, and platform services.

Domain

Cyber Security, Data Engineering, Cloud Native Infrastructure

Deliverable

production ML models

Required skills

Kubernetes, Linux, Python, Golang, SQL, Bash, Java, Apache Spark, Kafka, Flink, Airflow, GitOps, S3, Apache Iceberg, NATS.io, Risingwave, Dagster

Preferred skills

Cursor.ai, NUMA, Core Pinning, Data Catalogs, Data Versioning, Edge Data Management

Technologies

Kubernetes, Linux, Python, Golang, SQL, Bash, Java, S3, Apache Iceberg, GitOps, NATS.io, Risingwave, Dagster, Spark, Kafka, Flink, Airflow, Cursor.ai

Responsibilities

Conceptualize and develop on-premises data platforms; Implement batch and streaming data pipelines; Integrate workloads on Kubernetes and S3-compatible storage; Evaluate and integrate data catalogs and versioning; Collaborate with Lead Architects and Security teams.

Seniority

Mid-Senior, hands-on IC