{"id":95303,"title":"Senior Data Engineer","company":"Rhe","city":"Holzwickede, Germany","region":null,"location":"Holzwickede, Germany","work_model":"unknown","employment_type":"full_time","employment":["full_time"],"roles":["data_engineering"],"visa":"not_mentioned","relocation":"not_mentioned","posted_at":"2026-10-05T02:30:15.988054+00:00","tools":["Azure","Databricks","Spark","ETL","CI/CD","SQL"],"seniority":"senior","years_experience_min":null,"german_requirement":"preferred","german_level":"unspecified","english_requirement":"required","english_level":"unspecified","team_language":"unknown","confidence":0.9,"method":"rules","language_badge":"German a plus","language_evidence":"Language Skills: Fluency in English is required; knowledge of German is an advantage.","requirements_snippet":"Azure Data Platform Experience: Several years of hands-on experience with Azure Data Factory, ADLS Gen2, Databricks, and Azure Synapse Analytics. PySpark & Spark: Strong experience building distributed data processing pipelines …","url":"https://rhe.wd3.myworkdayjobs.com/R1111/job/Holzwickede-Germany/Senior-Data-Engineer_JR125363","source":"workday","agency":null,"description_text":"What You Can Expect:\n\nAbout the Role:\nWe are looking for an experienced and solution-oriented Azure Data Platform Engineer to develop, operate, and optimize our modern Azure-based data platform. In this role, you will focus on Azure, Databricks, data infrastructure, and CI/CD, supporting multi-tenant environments and enabling reliable, scalable data solutions.\n\nMain responsibilities:\n• 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.\n• Create Data Pipelines: Develop and maintain scalable ETL/ELT pipelines using PySpark and Spark, with a strong focus on data quality, reliability, and performance.\n• Multi-Tenant & Environment Support: Support and operate multi-tenant data platforms across multiple environments (development, test, production) with clear separation and governance.\n• Infrastructure & Platform Operations: Provision, configure, and maintain Azure data infrastructure, ensuring stability, security, and scalability.\n• CI/CD for Data Platforms: Build and maintain CI/CD pipelines for data pipelines and Databricks workloads, enabling automated deployments across environments.\n• Cost-Efficient & Best-Practice Azure Usage: Apply Azure best practices to optimize performance and cost, including resource sizing, lifecycle management, and cost monitoring.\n• Collaboration with BI & Data Teams: Work closely with BI and data teams to support efficient data models and reporting solutions.\n• Data Governance & Security Basics: Support data governance requirements such as access control, secure data handling, and basic metadata management.\n\nWhat You Bring:\n• Azure Data Platform Experience: Several years of hands-on experience with Azure Data Factory, ADLS Gen2, Databricks, and Azure Synapse Analytics.\n• PySpark & Spark: Strong experience building distributed data processing pipelines using PySpark and Spark.\n• ETL / ELT Knowledge: Solid understanding of ETL/ELT concepts and data modeling practices.\n• CI/CD & Automation: Experience with CI/CD pipelines for data workloads and basic automation of deployments.\n• SQL Skills: Strong SQL skills and experience optimizing analytical queries.\n• Data Formats: Practical experience with Parquet and/or Avro.\n• Infrastructure Awareness: Good understanding of Azure resource structure, environments, and operational best practices.\n• Analytical & Team-Oriented Mindset: Solution-focused approach with the ability to work independently and collaboratively.\n• Language Skills: Fluency in English is required; knowledge of German is an advantage.\n\nNote: This is a remote role in the European Union. Candidates need to be based in a country where Rhenus Overland Transport is already established.\nPlease provide a CV in English language.","responsibilities_text":"We are looking for an experienced and solution-oriented Azure Data Platform Engineer to develop, operate, and optimize our modern Azure-based data platform. In this role, you will focus on Azure, Databricks, data infrastructure, and CI/CD, supporting multi-tenant environments and enabling reliable, scalable data solutions.\nMain responsibilities:\n• 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.\n• Create Data Pipelines: Develop and maintain scalable ETL/ELT pipelines using PySpark and Spark, with a strong focus on data quality, reliability, and performance.\n• Multi-Tenant & Environment Support: Support and operate multi-tenant data platforms across multiple environments (development, test, production) with clear separation and governance.\n• Infrastructure & Platform Operations: Provision, configure, and maintain Azure data infrastructure, ensuring stability, security, and scalability.\n• CI/CD for Data Platforms: Build and maintain CI/CD pipelines for data pipelines and Databricks workloads, enabling automated deployments across environments.\n• Cost-Efficient & Best-Practice Azure Usage: Apply Azure best practices to optimize performance and cost, including resource sizing, lifecycle management, and cost monitoring.\n• Collaboration with BI & Data Teams: Work closely with BI and data teams to support efficient data models and reporting solutions.\n• Data Governance & Security Basics: Support data governance requirements such as access control, secure data handling, and basic metadata management.","requirements_text":"• Azure Data Platform Experience: Several years of hands-on experience with Azure Data Factory, ADLS Gen2, Databricks, and Azure Synapse Analytics.\n• PySpark & Spark: Strong experience building distributed data processing pipelines using PySpark and Spark.\n• ETL / ELT Knowledge: Solid understanding of ETL/ELT concepts and data modeling practices.\n• CI/CD & Automation: Experience with CI/CD pipelines for data workloads and basic automation of deployments.\n• SQL Skills: Strong SQL skills and experience optimizing analytical queries.\n• Data Formats: Practical experience with Parquet and/or Avro.\n• Infrastructure Awareness: Good understanding of Azure resource structure, environments, and operational best practices.\n• Analytical & Team-Oriented Mindset: Solution-focused approach with the ability to work independently and collaboratively.\n• Language Skills: Fluency in English is required; knowledge of German is an advantage.\nNote: This is a remote role in the European Union. Candidates need to be based in a country where Rhenus Overland Transport is already established.\nPlease provide a CV in English language.","status":"open","duplicate_of":null,"first_seen":"2026-11-04T02:30:28.028807+00:00","responsibilities_summary":null,"requirements_summary":null,"all_tools":["Azure","Databricks","Spark","ETL","CI/CD","SQL"],"posting_language":"en","evidence":[{"language":"german","requirement":"preferred","quote":"Language Skills: Fluency in English is required; knowledge of German is an advantage.","source":"rules"},{"language":"english","requirement":"required","quote":"Language Skills: Fluency in English is required; knowledge of German is an advantage.","source":"rules"}],"years_experience_max":null,"mobility_evidence":[],"model_version":"rules-8","english_badge":"English required","company_id":4464}