Data Engineer (m/f/d)

Data Engineer (m/f/d)

Holzwickede Vollzeit Kein Home Office möglich
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Deine Vorteile

  • Spesen: Going elsewhere? We’ve got you covered with comprehensive support for business trip expenses.
  • Mitarbeiterrabatte: Enjoy exclusive perks: Our extensive partner network gives you access to special discounts with various providers.
  • GroĂźartiges Team: It’s truly the people that make the difference — and with us you’ll join the best team around.
  • Home Office: Enjoy the freedom to work from home.
  • Unbefristeter Arbeitsvertrag: Rhenus is your place to be. We offer the security you need to confidently plan your future.
  • Individuelles Wachstum: Accelerate your career with development opportunities, tailored to your talents and interests.

Jobbeschreibung

Das erwartet Dich bei uns:

  • Develop a Modern Azure Data Platform: Design, build, and optimize end-to-end data solutions with Azure Data Factory, Azure Data Lake Storage, Databricks, and Azure Synapse Analytics.
  • Create Data Pipelines: Conceptualize and manage scalable ETL/ELT processes in PySpark and Spark, focusing on data quality and reliability.
  • Real-Time Data Capture: Implement pipelines that capture source system changes in real time, handling Slowly Changing Dimensions to maintain accurate historical data.
  • Integrate New Technologies: Stay updated on the latest trends in Cloud Data Engineering, Big Data, and Analytics, integrating relevant tools for better performance, cost-efficiency, and scalability.
  • Efficient Reporting with Power BI: Collaborate with BI teams to optimally structure large data models and develop impactful dashboards.
  • Data Governance and Compliance: Ensure compliance with data protection regulations and internal security policies, establishing best practices for metadata management, data lineage, and access controls.

Das bringst Du mit:

  • Azure Expertise: Several years of practical experience with Azure Data Factory, Azure Data Lake Storage, Databricks, and Azure Synapse Analytics.
  • PySpark and Spark: Comprehensive knowledge in developing distributed, high-performance data processing solutions.
  • ETL Processes: Deep understanding of ETL/ELT concepts and SCD/CDC methods.
  • SQL Skills: Proficient in complex SQL queries and their optimization.
  • Data Formats: Practical experience with Parquet or Avro.
  • Power BI: Experience working with large data models and creating Power BI visualizations.
  • Analytical Skills: Detail-oriented, solution-focused mindset with strong problem-solving abilities.
  • Language Skills: Fluency in English is required; knowledge of German is an advantage.

Geschäftsfeld: Road Freight
Logistik braucht intelligentes Management, damit Waren zur rechten Zeit am rechten Ort sind – unsere Transportlösungen gewährleisten genau das. Das Produktportfolio von Rhenus Road Freight reicht dabei von Sammelgut über Teil- und Komplettladungen bis hin zu Gefahrgut- und Spezialtransporten. Zusammen mit begleitenden Dienstleistungen wie Versicherungen oder Zoll, entstehen daraus individuelle und branchenspezifische Full-Service-Pakete. Wir sind pragmatisch und unkompliziert. Dabei eröffnet unser permanenter Wachstumskurs langfristige Perspektiven für all unsere Mitarbeiter sei es Fachkräfte oder Quereinsteiger.

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Kontaktperson:

Rhenus Logistics HR Team

Data Engineer (m/f/d)
Rhenus Logistics
R
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