What You Can Expect :
About the Role:
- 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.
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Senior Data Engineer Arbeitgeber: rhe
Als Arbeitgeber bieten wir Ihnen die Möglichkeit, in einem dynamischen und unterstützenden Umfeld zu arbeiten, das auf Teamarbeit und Effizienz ausgerichtet ist. Unsere Mitarbeiter profitieren von flexiblen Arbeitszeiten, kontinuierlichen Weiterbildungsmöglichkeiten und einer offenen Unternehmenskultur, die Innovation und persönliche Entwicklung fördert. Zudem liegt unser Standort in einer verkehrsgünstigen Lage, was den täglichen Arbeitsweg erleichtert und die Zusammenarbeit mit unseren Fahrerteams optimiert.
