Job Description

We are looking for an experienced Data Engineer to join a dynamic data engineering team and contribute to the development of modern, scalable data solutions within a Microsoft Azure and Databricks environment.

You will play a key role in designing, developing and maintaining data pipelines and data platforms, working with large and complex datasets to support business intelligence, analytics and data-driven decision-making.

This is an excellent opportunity for a Data Engineer who enjoys working with modern cloud technologies and is interested in data architecture, modelling and building robust data solutions.

Key Responsibilities

- Design, develop and maintain scalable data pipelines and ETL/ELT processes using Azure Data Factory (ADF) and Azure Databricks.
- Develop efficient data processing and transformation solutions using Python and Databricks.
- Work with large and complex datasets, ensuring data quality, reliability and performance.




- Contribute to the design and implementation of modern data architectures within the Azure ecosystem.
- Work with Medallion Architecture principles to build robust and scalable data solutions.
- Support the development of Data Vault and Business Vault architectures using Databricks on Azure.
- Work with Microsoft Fabric and OneLake, including the use of shortcuts to integrate and access data across different platforms.
- Contribute to data modelling activities within Azure Data Warehouse and related analytical environments.
- Collaborate with Data Architects, Developers, Analysts and other stakeholders to understand requirements and translate them into effective technical solutions.
- Identify opportunities to improve data processing, architecture, performance and automation.
- Ensure solutions follow best practices around scalability, security, maintainability and data governance.

📌 Senior Data Engineer (Madrid)
🏢 Talan
📍 Madrid