Data Engineer (m/w/d) at citema systems GmbH
Berlin, Berlin, Germany -
Full Time


Start Date

Immediate

Expiry Date

02 Dec, 26

Salary

0.0

Posted On

03 Sep, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Industry

Information Technology & Services

Description

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

Your tasks will include:

 

  • Contributing to the conception and development of an on-premises data platform
  • Development and integration of components for data orchestration, deployment and platform automation
  • Creation of proofs of concept, preferably using AI agent tools such as Cursor.ai
  • 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 data versioning, and their integration into the platform
  • Investigation of suitable solutions for data cataloging and their integration into the platform
  • Close collaboration with lead architects as well as infrastructure and security teams.

Your profile:

You should definitely possess the following knowledge and skills:

 

  • You have a degree in computer science or a comparable qualification and want to design software that really makes a difference.
  • You enjoy experimenting with proofs of concept and getting them working independently.
  • You bring several years of experience with Kubernetes and Kubernetes infrastructure as well as with Linux operating systems.
  • 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 of Python, Golang, SQL (MPP), Bash and Java.
  • You have already worked with many of these tools and technologies: S3, Apache Iceberg, GitOps workflows, NATS.io, Risingwave, Dagster, Spark, Kafka, Flink and Airflow, ideally complemented by experience with Cursor.ai and concepts such as NUMA and core pinning.
  • You are a cloud native, work routinely with Linux, Linux containers and Kubernetes, and have your own ideas on how to implement data management platforms at the edge entirely without public cloud services.
  • Ideally, you can demonstrate several years of professional experience as a data scientist. 
  • You impress with your analytical thinking, agile mindset, strong problem-solving skills and a strong focus on solutions.


Responsibilities
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