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Data Engineer – Kubernetes
citema systems GmbH. Design and development of an on-premises data platform on Kubernetes .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and developing on-premises data platforms using Kubernetes, with a strong focus on data orchestration, automation, and integration of batch and streaming data pipelines. Proficient in modern data platform architectures and capable of creating proofs of concept independently.
Highest-signal resume keywords
Kubernetes InfrastructureData Pipeline ImplementationPython ProgrammingBatch and Streaming Data PipelinesS3-Compatible Storage Solutions
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
KubernetesLinux Operating SystemsPythonGolangSQLRustBashJavaApache IcebergKafka/Redpanda
Soft Skills
Analytical ThinkingAgile MindsetProblem-Solving SkillsSolution-Oriented Approach
Tools & Technologies
S3DagsterSparkFlinkAirflowNATS.io
Industry Keywords
Data Platform ArchitectureKappa ArchitectureMedallion ArchitectureData Management PlatformsEdge Computing
Tech Stack
Tools & technologiesAirflowApacheAWSCloudJavaKafkaKubernetesLinuxPythonRustSparkSQLGo
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, preferably 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- 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 implement them independently
- Knowledge of modern data platform architectures such as Kappa and Medallion
- Knowledge of batch and low-latency streaming pipelines
- Practical experience with some 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 working with Linux, Linux containers, and Kubernetes
- Ideas for implementing data management platforms at the edge without public cloud services
- Several years of professional experience as a data scientist is a plus
- Very good spoken and written German
- 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
- Maximum 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-relevant systems
- Challenges that are genuinely enjoyable!