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Data Engineer (m/f/d)

Rhenus Logistics

Holzwickede

Vor Ort

EUR 50.000 - 70.000

Vollzeit

Vor 2 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

Ein führendes Logistikunternehmen sucht einen Data Engineer (m/w/d) in Holzwickede. Ihre Aufgaben umfassen die Entwicklung von ETL-Prozessen in Azure und die Zusammenarbeit mit BI-Teams für effiziente Datenberichte. Bieten Sie Entwicklungsmöglichkeiten und ein unterstützendes Team.

Leistungen

Home Office
Mitarbeiterrabatte
Unbefristeter Arbeitsvertrag
Individuelles Wachstum

Qualifikationen

  • Mehrjährige praktische Erfahrung mit Azure Data Services.
  • Umfassende Kenntnisse in der Entwicklung von ETL/ELT Prozessen.
  • Fließend in Englisch, Deutschkenntnisse sind von Vorteil.

Aufgaben

  • Entwicklung und Optimierung einer modernen Azure-Datenplattform.
  • Konzeption und Verwaltung skalierbarer ETL/ELT-Prozesse.
  • Implementierung von Echtzeit-Datenpipelines.

Kenntnisse

Azure Expertise
PySpark
SQL
Analytische Fähigkeiten

Jobbeschreibung

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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.

Großartiges 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 Ver↵sicherungen 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.

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Information Technology
  • Industries
    Transportation, Logistics, Supply Chain and Storage, Truck Transportation, and Freight and Package Transportation

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