Data Engineer Jobs in Germany | Apply now

Are you a data engineer or a data platform engineer and wish to work and get handsomely paid in Germany? This is for you. There are plethora of well paying Data Engineer Jobs in Germany at different tech companies in the country. Among the companies that urgently need professional data engineers is E.ON Energie Deutschland GmbH. This company is a leading energy company and holding company of E.ON Sales in Germany with about 75,000 employees.

With 27 locations in Germany, E.ON Energie Deutschland GmbH ensures reliable supply of electricity and natural gas at fair prices and excellent customer service at all times. The company is seen as a solution provider for the increasingly decentralized, ecological and digital energy world. This is because of its records in photovoltaic service and advice, energy storage, energy checks and efficiency measures. Record has it that E.ON is one of the strongest operators of European energy networks and energy-related infrastructure, as well as a provider of advanced customer solutions for more than 50 million customers across 15 countries.

E.ON Energie Deutschland GmbH among other companies are looking for a Data Engineers or Data Platform Engineers who can be employed on permanent contract either on full-time or part-time basis.

Responsibilities of a Data Engineer

Data Engineers are saddled with the following professional responsibilities:

  • Work on all parts of your employer’s data platform
  • Work with technologies like Python, Kubernetes, Apache Airflow, dbt, Azure, Terraform and more
  • Finding clever, automated and intelligent solutions and implement them in an independent manner
  • Maintenance and development of scalable and robust data pipelines
  • Enhancement and maintenance of your employer’s key components like Azure Data Lake, AKS, Apache Airflow, dbt and Snowflake
  • Implementation of batch workflows with Apache Airflow under usage of our Azure Kubernets Cluster, Airflow best practices and a useful connection with other Azure PAAS Services and Snowflake Cloud Computing softwares
  • Creation and implementation of CI/CD pipelines with Azure DevOps

Requirements for Data Engineer Jobs

To be employed as a professional Data Engineer in Germany, you must:

  • Have a university degree with a focus on computer science (or a comparable qualification) with proven professional experience in the field of DevOps & cloud-native technologies
  • Have practical experience in dealing with IaaS and practical experience in cloud architectures
  • Have a goal-oriented communication skill to describe problems and complex issues to the team and clients
  • Have experiences in Software architecture and development including usage of cloud resources
  • Be capable of handling Git, Azure DevOps, CI/CD, good Linux knowledge
  • Have over 3 years’ experience in software development and data engineering, usage of Python, Unix, Docker, Kubernetes and Microsoft Azure
  • Be experienced in software best practices: Code reviews, code versioning, test-driven development, standards, object-oriented development, infrastructure as code
  • Have excellent hands-on experience in the maintenance and enhancement of frameworks like Apache Airflow, dbt or similar
  • Not shy away from SQL
  • Have Language skills Deutsch (B2) and English (B2)

Apply for Senior DevOps Engineer Jobs in Germany

Job Benefits

If employed, you will be exposed to the following benefits:

  • Participation in the innovative and dynamic environment for shaping tomorrows sustainable energy world
  • Flexible working hours with the possibility to work from home after consultation with your Manager
  • A professional and friendly working atmosphere and corporate culture
  • A wide range of training opportunities including support programs
  • Attractive financial benefits including a company pension scheme and capital-forming payments
  • Numerous additional benefits such as an employee share program, a job bike and employee discounts for well-known brands and suppliers

Apply here!

 

 

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