Logo DATEV eG

Specialist Platform Engineering Big Data

New

Job

  • Level
    Experienced
  • Location
    Nuremberg
  • Working Model
    Hybrid, Onsite
  • Job Field
    IT, DevOps, Back End
  • Employment Type
    Full Time
  • Contract Type
    Permanent employment

Job Summary

In this role, you will design and operate our BigData platform on Kubernetes, develop automations with Everything as Code, and ensure stable data flows in the company through CI/CD processes and security solutions.

Job Technologies

Your role in the team

  • You will help shape our BigData platform. It enables development teams to automate data flows, query large data volumes efficiently, manage analytical datasets in a structured manner, and implement distributed data processing for batch and real-time scenarios.
  • With Everything as Code, Self-Service, and Observability, you lay the foundation for short release cycles and high stability.
  • You build and operate Big Data platforms based on Kubernetes, including their systems and integrated security and governance controls, observability, as well as lifecycle management components (backup, restore, and disaster recovery).
  • You implement deployment, update, and scaling processes using Infrastructure as Code, Configuration as Code, Policy as Code, and GitOps.
  • You develop APIs, CLI tools, and service catalogs for independent use by development teams.
  • You evaluate and integrate new technologies and tools in coordination with relevant stakeholders (e.g., architecture, security, technology management, workstreams).
  • You take over the last-level support, analyze technical disruptions, load, configuration, and permission issues, and manage sustainable solutions together with our stakeholders.

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Our expectations of you

Education

  • You have successfully completed a degree in computer science or a comparable field of study, or an equivalent vocational qualification with several years of professional experience.

Qualifications

  • You have good knowledge of cloud platform technologies (especially Kubernetes) and a solid understanding of cloud principles.
  • You are familiar with collaborating with development teams; agile working is part of your self-understanding.
  • You are motivated to learn the setup and operation of CI/CD pipelines (e.g., GitLab CI, GitHub Actions, Jenkins), including automated builds, tests, deployments, and security scans.
  • You are ready to acquire solid knowledge in the operation and security of cloud environments (e.g., AWS/Azure/GCP, IAM, network security, monitoring/logging with Prometheus, Grafana, ELK/Loki).

Experience

  • You have several years of experience in Platform Engineering or in the development and operation of platforms based on CaaS, including Observability, Security, and Compliance, as well as their integration into operations.
  • You have practical experience in automation and Everything as Code (e.g., Terraform, ArgoCD, IaC, GitOps).

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What we offer

  • Opportunity to work remotely in the sense of mobile, location-independent work within Germany, including the necessary technical equipment.
  • Flexible working hours including the possibility of compensatory time off for a good work-life balance.
  • Extensive range of professional and personal development opportunities during and outside working hours, as well as numerous internal communities for networking and mutual learning.

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Benefits

Work-Life-Integration

Topics You Will Work On

Job Locations

  • Location Nuremberg

    Bayern

    Germany

About Your Employer

DATEV eG

DATEV eG

DATEV eG is your competent partner for all aspects of data processing. With over 40,000 satisfied members, we are always striving to improve our service for you. Here you will find everything you need to know about our company - from our philosophy to membership.

Description

  • Company Size
    1-49 Employees
  • Company Type
    Established Company
  • Working Model
    Full Remote, Hybrid, Onsite
  • Industry
    Internet, IT, Telecommunication
Logo DATEV eG

Specialist Platform Engineering Big Data

Location
Nuremberg
Working Model
Hybrid, Onsite
Diversity
Open for all genders

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