Senior Data Engineer
- Hiring from
- Europe
- Work type
- Remote
- Posted
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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.
Why work here?
Welcome to Rhenus, where our journey of growth connects with yours. We are a global powerhouse on a mission to be pioneers in everything we do. United, we make an impact and dare to redefine what's possible.
We are on the fast track, ready to unlock untapped potential.
At Rhenus, we stand as one global team that thrives on collaboration. Because everyone contributes to our success, we value every voice and embrace every idea. Together, we shape the future of logistics and beyond. Empowered by you.
About Us
As a logistics service provider, we are the value-added partner for customers all over the world. We analyse highly complex processes along the supply chain and optimise them through individual solutions for procurement, production and distribution. Whatever our customers want to achieve – we stand by their side and pave the way. In our decentrally organised business units, we provide future-orientated services for the logistics of tomorrow.
Technical support
If you have technical problems with your applicant account or if you do wish to withdraw your data, please do not hesitate to contact us via workday@rhenus.com
