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Rhenus Logistics logo
Rhenus Logistics

#togetherwithpassion

Data Engineer

Data EngineerData EngineerFull TimeRemoteSeniorTeam 10,001+Since 1912H1B No SponsorCompany SiteLinkedIn

Location

Germany

Posted

147 days ago

Salary

0

Seniority

Senior

Bachelor Degree3 yrs expEnglishAzureETLPySparkApache SparkSQL

Job Description

Data Engineer

Rhenus Logistics

• Develop a Modern Azure 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. • Create Data Pipelines: Develop and maintain scalable ETL/ELT pipelines using PySpark and Spark, with a strong focus on data quality, reliability, and performance. • Multi-Tenant & Environment Support: Support and operate multi-tenant data platforms across multiple environments (development, test, production) with clear separation and governance. • Infrastructure & Platform Operations: Provision, configure, and maintain Azure data infrastructure, ensuring stability, security, and scalability. • CI/CD for Data Platforms: Build and maintain CI/CD pipelines for data pipelines and Databricks workloads, enabling automated deployments across environments. • Cost-Efficient & Best-Practice Azure Usage: Apply Azure best practices to optimize performance and cost, including resource sizing, lifecycle management, and cost monitoring. • Collaboration with BI & Data Teams: Work closely with BI and data teams to support efficient data models and reporting solutions. • Data Governance & Security Basics: Support data governance requirements such as access control, secure data handling, and basic metadata management.

Job 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.
  • Solution-focused approach with the ability to work independently and collaboratively.
  • Fluency in English is required; knowledge of German is an advantage.

Benefits

  • Flexible working arrangements
  • Professional development opportunities

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