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.

📌 Senior Data Engineer (Madrid)
🏢 Rhenus Se Kg
📍 Madrid