Data Engineer Kubernetes (m/f/d)

Driving Digital Technologies.
Accompanying and actively shaping the digital transformation – our mission at citema. With our innovative approaches, we advise and support our customers in the technology fields of Cyber Security, AI, and Blockchain. The implementation of system and security-relevant software projects also belongs to our portfolio. This is how we connect new technologies with the classic software world. With us, a professional, collegial interaction with a "Du" culture is lived, because our excellent team spirit and open communication are the spirit of our company. As a very successful and continuously growing company with a solid foundation, we offer you diverse opportunities in a highly interesting, dynamic environment. Become part of our success, contribute your expertise, and responsibly shape the future together with us.

Tasks

Your Mission
We are looking for you as a Data Engineer Kubernetes (m/f/d) at the Dresden (hybrid) location.

Your tasks will include:

• You will work on the conception and development of an on-premises data platform that runs on Kubernetes
• You will develop and integrate components for data orchestration, deployment, and platform automation
• You will create Proofs of Concept, gladly with the help of AI agent tools
• You will implement batch and streaming data pipelines and platform-related services, and you will integrate workloads on Kubernetes and S3-compatible storage solutions
• You will investigate data catalogs and their integration into the platform
• You will work closely with the Lead Architects, Infrastructure, and Security teams

Qualifications

Your Profile
You should definitely bring the following knowledge and skills with you:

• You have a completed degree in Computer Science or a comparable qualification and want to design software that really makes a difference
• You have several years of experience with Kubernetes and Kubernetes infrastructure as well as with Linux operating systems. Important: On-premise Kubernetes and not just on AWS and other public cloud providers
• You enjoy experimenting with Proofs of Concept and getting them running independently
• You are familiar with modern data platform architectures such as Kappa or Medallion, as well as batch and low-latency streaming pipelines
• You have practical knowledge in some of these languages: Python, Golang, SQL, Rust, Bash, and Java
• You have already worked with many of these tools and technologies: S3, Apache Iceberg, Kafka/RedPanda, NATS.io, Dagster, Spark, Flink, and Airflow
• You are a Cloud Native, work routinely with Linux, Linux containers, and Kubernetes, and have your own ideas on how data management platforms can be realized at the edge without any public cloud services
• Ideally, you can demonstrate several years of professional experience as a Data Scientist
• You convince with analytical thinking, an agile mindset, strong problem-solving skills, and a strong solution orientation.
• Very good spoken and written German is required for effective communication in the project environment as well as with our German-speaking customers

Benefits

What we offer you
We are convinced that the following framework conditions provide the best prerequisites for efficiency and creative solution-finding:

• Active participation in innovative future technologies
• Flexible new work model with hybrid working opportunities
• Permanent employment contract
• Givve Card as a tax-free corporate benefit
• Maximum decision-making and design freedom
• Individual career planning and development perspectives
• Knowledge transfer and synergy effects through a strong team
• Technological diversity with exciting insights into security-relevant systems

And: Challenges that are really fun!

Ready to shape the future?

Drive digital technologies with us!

We look forward to receiving your application.

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