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# Senior Data Engineer

- **Company:** Rhenus AG & Co. KG
- **Location:** Holzwickede, Germany (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Microsoft Azure, BASIC (Programming Language), Continuous Integration, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Security, Data Systems, Database Queries, Distributed Computing Environment, Meta-Data Management, Standard Sql, Azure Data Lake, Parquet, Azure Data Factory, Apache Spark, Pyspark, Deployment Automation, Avro, Data Management, Azure Synapse Analytics, Data Pipelines, Databricks
- **Published:** September 9, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=97554078f4fe7512

## About the Role

* 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.

## Description

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., * 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.