Senior Data Engineer in Chemnitz

Senior Data Engineer in Chemnitz

Chemnitz Vollzeit Kein Homeoffice möglich
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Overview

In this role you will design, build, and operate a modern Azure-based data platform, focusing on Azure, Databricks, and CI/CD. You will create scalable ETL/ELT pipelines and support multi-tenant environments across development, testing, and production. You will partner with BI and data teams to optimize data models, reporting, and governance basics, while applying cost-aware Azure practices. This remote EU opportunity offers meaningful impact by enabling reliable, scalable data solutions and strong collaboration across teams.

Verantwortungsbereiche

  • Design, build, and operate end-to-end data solutions using Azure Data Factory, ADLS Gen2, Databricks, and Azure Synapse Analytics
  • Develop and maintain scalable ETL/ELT pipelines with PySpark and Spark emphasizing data quality, reliability, and performance
  • Support and manage multi-tenant data platforms across development, test, and production environments with governance and separation
  • Provision, configure, and maintain Azure data infrastructure ensuring stability, security, and scalability
  • Build and maintain CI/CD pipelines for data workloads and Databricks deployments across environments
  • Apply Azure best practices for performance optimization and cost management including resource sizing and lifecycle management
  • Collaborate with BI and data teams to support efficient data models and reporting solutions
  • Support data governance basics such as access control, secure data handling, and metadata management

Zentrale Anforderungen

  • Azure Data Platform Experience with Azure Data Factory, ADLS Gen2, Databricks, and Azure Synapse Analytics
  • Strong PySpark and Spark experience for distributed data processing
  • Solid understanding of ETL/ELT concepts and data modeling
  • CI/CD pipelines experience for data workloads and basic deployment automation
  • Strong SQL skills and experience optimizing analytical queries
  • Practical experience with Parquet and/or Avro data formats
  • Good understanding of Azure resource structure, environments, and operational best practices
  • Analytical and team-oriented mindset with ability to work independently and collaboratively
  • Fluency in English; knowledge of German is a plus
  • remote EU work eligibility in countries where Rhenus Overland Transport operates
  • solution-oriented
  • analytical
  • team-oriented
  • Azure Data Factory
  • ADLS Gen2
  • Databricks

Senior Data Engineer in Chemnitz Arbeitgeber: Rhenus Group

Rhenus ist ein hervorragender Arbeitgeber, der seinen Mitarbeitern im Back Office - Personal nicht nur ein dynamisches und unterstützendes Arbeitsumfeld bietet, sondern auch zahlreiche Möglichkeiten zur persönlichen und beruflichen Weiterentwicklung. Mit einem starken Fokus auf Teamarbeit und Innovation fördern wir eine positive Unternehmenskultur, die Kreativität und Engagement wertschätzt. Zudem profitieren unsere Mitarbeiter von flexiblen Arbeitszeiten und attraktiven Sozialleistungen, die das Arbeiten in unserer modernen Zentrale besonders angenehm machen.

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Kontaktdaten:

Rhenus Group Recruiting-Team