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citema systems GmbH
citema systems GmbH
51 – 200 Employees
ConsultingHealthcareLogistics
citema systems GmbH is a technology consulting and implementation partner focused on digital transformation and new business models. Founded in 2016, the company works across consulting, logistics, and healthcare, advising organizations on blockchain, Internet of Things, Industry 4.0, big data, artificial intelligence, and cybersecurity. Its secChain platform supports hybrid blockchain solutions that combine private and public blockchain capabilities for tailored business transformations.
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Data Engineer – Kubernetes (Hybrid, Germany)

Join citema systems GmbH to build on-premises Kubernetes data platforms for cybersecurity, AI, and blockchain solutions. You will develop data pipelines, automate platform operations, and implement streaming services.

DEGermanyHybridFull-timeMiddleSeniorGerman RequiredBackend EngineerSoftware Engineer
AirflowApacheAWSCloudGoJavaKafkaKubernetesLinuxPythonRustSparkSQL

Description

  • Design and develop an on-premises data platform running on Kubernetes
  • Build and integrate components for data orchestration, deployment, and platform automation
  • Develop proofs of concept, ideally using AI agent tools where appropriate
  • Implement batch and streaming pipelines together with platform services
  • Integrate Kubernetes workloads with S3-compatible storage systems
  • Assess data catalog solutions and connect them to the platform
  • Work closely with lead architects and infrastructure and security teams

Requirements

  • A computer science degree or equivalent qualification
  • Several years of experience with Kubernetes, Kubernetes infrastructure, and Linux
  • Hands-on experience with on-premises Kubernetes environments beyond public cloud platforms such as AWS
  • Experience developing proofs of concept and delivering them independently
  • Understanding of modern data platform architectures, including Kappa and Medallion
  • Knowledge of batch processing and low-latency streaming pipelines
  • Practical experience with several of Python, Go, SQL, Rust, Bash, and Java
  • Experience with multiple technologies such as S3, Apache Iceberg, Kafka or Redpanda, NATS.io, Dagster, Spark, Flink, and Airflow
  • Strong practical skills with Linux, Linux containers, and Kubernetes
  • Ideas for building edge-based data management platforms without public cloud services
  • Several years of professional experience as a data scientist would be advantageous
  • Very good spoken and written German
  • Analytical thinking, an agile approach, strong problem-solving ability, and a clear focus on practical solutions

Benefits

  • Work directly with emerging and innovative technologies
  • Use a flexible hybrid new-work model
  • Receive a permanent employment contract
  • Get a Givve Card as a tax-free company benefit
  • Enjoy substantial autonomy in decisions and work design
  • Access individualized career planning and development opportunities
  • Share knowledge and benefit from collaboration within a strong team
  • Work across diverse technologies with exposure to security-critical systems
  • Take on challenging work designed to be engaging

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