Senior Data Engineer (m/f/d) at SPECTRUM AG
Berlin, Berlin, Germany -
Full Time


Start Date

Immediate

Expiry Date

28 Dec, 26

Salary

50000.0

Posted On

29 Sep, 26

Experience

4 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Industry

Information Technology & Services

Description

SPECTRUM AG

SPECTRUM AG

Senior Data Engineer (m/f/d)


Dresden, Germany


Employee


Other professions

Senior Data Engineer (m/f/d)

Location: Dresden

Start: Immediately

Company profile

The company, headquartered in Munich, is a globally operating provider of solutions in the fields of electrical engineering, test and measurement technology, and communications technology. It offers a wide range of products, including test equipment for electronics, radio communications, satellite communications, and networks. These products are used by companies in various industries, including aerospace, defense, telecommunications, automotive, and electronics.

Tasks

  • Contributing to the conception and development of an on-premises data platform
  • Development and integration of components for data orchestration, deployment and platform automation
  • Implementation of batch and streaming data pipelines as well as platform-related services
  • Integration of workloads on Kubernetes and S3-compatible storage solutions
  • Examination of data catalogs, data versioning and their integration into the platform
  • Collaboration with lead architects, infrastructure and security teams

Qualifications

  • A completed degree in computer science or a comparable qualification, as well as the ambition to design software that truly makes a difference.
  • Enjoyment of experimenting with proofs of concept and the ability to make them work independently.
  • Several years of experience with Kubernetes and Kubernetes infrastructure as well as with Linux operating systems
  • Knowledge of modern data platform architectures such as Kappa or Medallion, as well as batch and low-latency streaming pipelines.
  • Practical knowledge of Python, Golang, SQL (MPP), Bash and Java
  • Cloud-native mindset with experience in Linux, Linux containers and Kubernetes, as well as own ideas for implementing data management platforms at the edge entirely without public cloud services.
  • Excellent German and English skills, both spoken and written.

Additional information & benefits

  • 40 hours per week
  • Partial home office possible (predominantly on-site presence in Dresden)
  • 30 days of vacation
  • Exciting opportunities in a fascinating high-tech company and an innovative industry
  • Comprehensive onboarding and an open, international working environment

Responsibilities

SPECTRUM AG

SPECTRUM AG

Senior Data Engineer (m/f/d)


Dresden, Germany


Employee


Other professions

Senior Data Engineer (m/f/d)

Location: Dresden

Start: Immediately

Company profile

The company, headquartered in Munich, is a globally operating provider of solutions in the fields of electrical engineering, test and measurement technology, and communications technology. It offers a wide range of products, including test equipment for electronics, radio communications, satellite communications, and networks. These products are used by companies in various industries, including aerospace, defense, telecommunications, automotive, and electronics.

Tasks

  • Contributing to the conception and development of an on-premises data platform
  • Development and integration of components for data orchestration, deployment and platform automation
  • Implementation of batch and streaming data pipelines as well as platform-related services
  • Integration of workloads on Kubernetes and S3-compatible storage solutions
  • Examination of data catalogs, data versioning and their integration into the platform
  • Collaboration with lead architects, infrastructure and security teams

Qualifications

  • A completed degree in computer science or a comparable qualification, as well as the ambition to design software that truly makes a difference.
  • Enjoyment of experimenting with proofs of concept and the ability to make them work independently.
  • Several years of experience with Kubernetes and Kubernetes infrastructure as well as with Linux operating systems
  • Knowledge of modern data platform architectures such as Kappa or Medallion, as well as batch and low-latency streaming pipelines.
  • Practical knowledge of Python, Golang, SQL (MPP), Bash and Java
  • Cloud-native mindset with experience in Linux, Linux containers and Kubernetes, as well as own ideas for implementing data management platforms at the edge entirely without public cloud services.
  • Excellent German and English skills, both spoken and written.

Additional information & benefits

  • 40 hours per week
  • Partial home office possible (predominantly on-site presence in Dresden)
  • 30 days of vacation
  • Exciting opportunities in a fascinating high-tech company and an innovative industry
  • Comprehensive onboarding and an open, international working environment

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