About the Role:

We are looking for an experienced and solution-orientedAzure Data Platform Engineer to develop, operate, and optimize our modern Azure-based data platform. In this role, you will focus onAzure, Databricks, data infrastructure, and CI/CD , supportingmulti-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.

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