Senior Data Engineer

Rhenus Logistics; United States; Remote; USD 104,000 - 138,000; Full time

Job summary

Rhenus Logistics is seeking an experienced Azure Data Platform Engineer to develop, operate, and optimize an Azure-based data platform. You will focus on Azure, Databricks, data infrastructure, and CI/CD, supporting multi-tenant environments and enabling reliable, scalable data solutions.

The role involves designing end-to-end data solutions, building scalable ETL/ELT pipelines with PySpark, and collaborating with BI and data teams while ensuring governance and security basics.

Qualifications

• Hands-on experience with Azure data services including ADF, ADLS Gen2, Databricks and Synapse.
• Strong PySpark/Spark for distributed data processing.
• Good understanding of ETL/ELT concepts and data modeling.
• Experience with CI/CD pipelines for data workloads.
• Strong SQL skills and analytics optimization.
• Experience with Parquet and Avro formats.
• Solid grasp of Azure resource structure and environments.
• Fluent English; German a plus.

Responsibilities

• Design, build, and operate end-to-end data solutions on Azure.
• Develop and maintain scalable ETL/ELT pipelines with PySpark.
• Support multi-tenant data platforms across environments with governance.
• Provision and maintain Azure data infrastructure for stability and security.
• Build CI/CD pipelines for data workloads and Databricks workloads.
• Apply Azure best practices for performance and cost optimization.
• Collaborate with BI and data teams on data models and reporting.
• Support data governance and basic metadata management.

Skills

Azure Data Platform

PySpark & Spark

ETL / ELT

CI/CD & Automation

SQL Skills

Data Formats (Parquet/Avro)

Azure infrastructure

Analytical mindset

English proficiency

Tools

Azure Data Factory

Azure Data Lake Storage Gen2

Databricks

Azure Synapse Analytics

PySpark

Job description

About the Role

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.