Remote Data Engineer — Azure Databricks & Data Architecture

Talan; Madrid; Presencial; EUR 45.000 - 75.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote within Spain Time zone

Multicultural team and international项目

Descripción de la vacante

Talan is seeking an experienced Data Engineer to join a dynamic data engineering team working in a Microsoft Azure and Databricks environment.

You will design, develop and maintain data pipelines and platforms, handling large datasets to support BI, analytics and data-driven decision-making. This role suits someone who enjoys modern cloud tech and data architecture, modelling and robust solutions.

Formación

• Proven professional experience as a Data Engineer.
• Strong hands-on experience with Azure Data Factory.
• Strong experience with Azure Databricks.
• Good programming skills in Python.
• Solid understanding of ETL/ELT and data modelling.
• Experience with cloud-based data platforms and large-scale data processing.
• Good understanding of SQL and relational concepts.

Responsabilidades

• 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.

Conocimientos

Azure Data Factory

Azure Databricks

Python

SQL

Descripción del empleo

Talan is seeking an experienced Data Engineer to join a dynamic data engineering team working in a Microsoft Azure and Databricks environment.

You will design, develop and maintain data pipelines and platforms, handling large datasets to support BI, analytics and data-driven decision-making. This role suits someone who enjoys modern cloud tech and data architecture, modelling and robust solutions.