Senior Data Engineer

🕒 September 9

🌐 Germany, Portugal, +3 more countries – Remote

🇩🇪 Germany – Remote 🇵🇹 Portugal – Remote 🇪🇸 Spain – Remote 🇮🇹 Italy – Remote 🇵🇱 Poland – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Rhenus Logistics

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1912

🚘 Automotive

💼 Consulting

🏥 Healthcare

Automotive • Consulting • Healthcare

Rhenus Logistics is a global logistics company that provides end-to-end transport and supply chain solutions across air, sea, road, rail and inland waterways. The company offers warehousing and value-added services, port and terminal operations, 4PL and commodity logistics, and industry-specific solutions for sectors such as automotive, chemicals, high-tech and life sciences. With a worldwide network of locations and technology-enabled services, Rhenus focuses on customized, sustainable and resilient logistics to keep goods moving reliably and efficiently.

📋 Description

• Develop, operate, and optimize the modern Azure-based data platform • Design, build, and operate end-to-end data solutions using Azure Data Factory, Azure Data Lake Storage Gen2, Databricks, and Azure Synapse Analytics • Develop and maintain scalable ETL/ELT pipelines using PySpark and Spark • Support and operate multi-tenant data platforms across development, test, and production environments • Provision, configure, and maintain Azure data infrastructure • Build and maintain CI/CD pipelines for data pipelines and Databricks workloads • Apply Azure best practices to optimize performance and cost • Collaborate with BI and data teams to support data models and reporting solutions • Support data governance requirements, including access control, secure data handling, and basic metadata management

🎯 Requirements

• Several years of hands-on experience with Azure Data Factory, ADLS Gen2, Databricks, and Azure Synapse Analytics • Strong experience building distributed data processing pipelines using PySpark and Spark • Solid understanding of ETL/ELT concepts and data modeling practices • Experience with CI/CD pipelines for data workloads and basic automation of deployments • Strong SQL skills and experience optimizing analytical queries • Practical experience with Parquet and/or Avro • Good understanding of Azure resource structure, environments, and operational best practices • Ability to work independently and collaboratively • Fluency in English is required; knowledge of German is an advantage • Candidates need to be based in a country where Rhenus Overland Transport is already established • CV must be provided in English

🏖️ Benefits

• Fully mobile working / remote work • Opportunity to work on a modern Azure-based data platform • Work with multi-tenant environments and scalable data solutions