Data Engineer – Kubernetes

citema systems GmbH

. Design and development of an on-premises data platform on Kubernetes .

Posted 10/28/2026full-timeDresden • GermanyMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing on-premises data platforms using Kubernetes, with a strong focus on data orchestration, batch and streaming data pipelines, and integration of modern data architectures. Proficient in multiple programming languages and tools, with a solid foundation in Linux and data management solutions.

Highest-signal resume keywords

Kubernetes InfrastructureBatch And Streaming Data PipelinesPython ProgrammingData Platform ArchitectureGerman Language Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

KubernetesLinux Operating SystemsData OrchestrationProofs Of ConceptSQLGolangRustBashJavaAnalytical Thinking

Soft Skills

Problem-Solving SkillsAgile MindsetSolution-Oriented Approach

Tools & Technologies

S3Apache IcebergKafka/RedpandaNATS.ioDagsterSparkFlinkAirflow

Industry Keywords

Data Management PlatformsOn-Premises SolutionsData CatalogsKappa ArchitectureMedallion Architecture

Tech Stack

Tools & technologies

AirflowApacheAWSCloudJavaKafkaKubernetesLinuxPythonRustSparkSQLGo

About the role

Key responsibilities & impact

Design and development of an on-premises data platform on Kubernetes
Development and integration of components for data orchestration, deployment, and platform automation
Creation of proofs of concept, ideally with the support of AI agent tools
Implementation of batch and streaming data pipelines as well as platform-related services
Integration of workloads on Kubernetes and S3-compatible storage solutions
Evaluation of data catalogs and their integration into the platform
Close collaboration with lead architects as well as infrastructure and security teams

Requirements

What you’ll need

Completed degree in computer science or a comparable qualification
Several years of experience with Kubernetes, Kubernetes infrastructure, and Linux operating systems
Experience with on-premises Kubernetes—not only AWS and other public cloud providers
Experience creating proofs of concept and the ability to bring them into operation independently
Knowledge of modern data platform architectures such as Kappa and Medallion
Experience with batch and low-latency streaming pipelines
Practical knowledge of several of the following languages: Python, Golang, SQL, Rust, Bash, and Java
Experience with several of the following tools and technologies: S3, Apache Iceberg, Kafka/Redpanda, NATS.io, Dagster, Spark, Flink, and Airflow
Proficient in Linux, Linux containers, and Kubernetes
Own ideas for implementing data management platforms at the edge without public cloud services
Several years of professional experience as a data scientist would be an advantage
Very good spoken and written German is required
Analytical thinking, an agile mindset, strong problem-solving skills, and a pronounced solution-oriented approach

Benefits

Comp & perks

Active involvement in innovative technologies of the future
Flexible New Work model with hybrid working options
Permanent employment contract
Givve Card as a tax-free company benefit
Extensive freedom to make decisions and shape your work
Individual career planning and development opportunities
Knowledge sharing and synergies within a strong team
Technological diversity with exciting insights into security-critical systems
Challenges that are genuinely enjoyable