What You Can Expect:
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.
Main responsibilities:
• 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.
What You Bring:
• 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 using PySpark and Spark.
• ETL / ELT Knowledge: Solid understanding of ETL/ELT concepts and data modeling practices.
• CI/CD & Automation: Experience with CI/CD pipelines for data workloads and basic automation of deployments.
• SQL Skills: Strong SQL skills and experience optimizing analytical queries.
• Data Formats: Practical experience with Parquet and/or Avro.
• Infrastructure Awareness: Good understanding of Azure resource structure, environments, and operational best practices.
• Analytical & Team-Oriented Mindset: Solution-focused approach with the ability to work independently and collaboratively.
• Language Skills: Fluency in English is required; knowledge of German is an advantage.
Note: This is a remote role in the European Union. Candidates need to be based in a country where Rhenus Overland Transport is already established.
Please provide a CV in English language.
Skills Required
- Several years of hands-on experience with Azure Data Factory, Azure Data Lake Storage 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 deployment automation
- Strong SQL skills and experience optimizing analytical queries
- Practical experience with Parquet and/or Avro
- Understanding of Azure resource structures, environments, and operational best practices
- Fluency in English
- Knowledge of German
- Candidates must be based in an EU country where Rhenus Overland Transport is established
- CV provided in English
What We Do
Niederrheinische Verkehrsbetriebe AG (NIAG) is a regional transport company based in Moers, Germany, that provides comprehensive bus and rail services to the Lower Rhine region.
