Experteer Overview
¿Quiere presentar una candidatura? Asegúrese de que su CV está actualizado y luego lea atentamente las siguientes especificaciones del puesto antes de solicitar.
As a Data Engineer at Talan, you will design and maintain scalable data pipelines in Azure and Databricks to support BI, analytics, and data-driven decisions. You will contribute to modern data architectures and ensure data quality and performance within a cloud-first environment. This role sits in a cross-functional data team delivering impactful, scalable solutions for diverse clients. You will work with state-of-the-art tools and practices to enable measurable business outcomes.
Compensaciones / Ventajas
• Design, develop and maintain scalable data pipelines and ETL/ELT processes using Azure Data Factory 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 Azure
• Apply Medallion Architecture principles to build robust data solutions
• Support Data Vault and Business Vault architectures using Databricks on Azure
• Work with Microsoft Fabric and OneLake, including OneLake shortcuts to access data across platforms
• Contribute to data modelling within Azure Data Warehouse and related analytical environments
• Collaborate with Data Architects, Developers, Analysts and other stakeholders to translate requirements into technical solutions
• Identify opportunities to improve data processing, architecture, performance and automation
• Ensure solutions follow best practices around scalability, security, maintainability and data governance
xqbhyrx
Responsabilidades
• Proven professional experience as a Data Engineer
• Hands-on experience with Azure Data Factory (ADF)
• Experience with Azure Databricks
• Good programming skills in Python
• Solid understanding of
📌 Senior Data Engineer (Málaga)
🏢 Talan
📍 Málaga