Overview
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As a Data Engineer at Talan, you will design and build scalable data pipelines and platforms in Azure and Databricks to enable analytics and data-driven decisions. You will work with large datasets, apply modern data architectures, and contribute to data modelling and governance. You’ll collaborate with cross-functional teams to translate requirements into robust, scalable solutions that support business intelligence and transformation initiatives. This role offers exposure to cutting-edge cloud data technologies in a global consulting environment.
Compensaciones / Ventajas
Remote within Spain
Multicultural team
International projects
CET working hours
Responsabilidades
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 with Python and Databricks
Handle large, complex datasets with a focus on data quality and performance
Contribute to modern data architectures within the Azure ecosystem
Apply Medallion Architecture principles to build robust data solutions




Support Data Vault and Business Vault architectures on Databricks on Azure
Work with Microsoft Fabric and OneLake, leveraging shortcuts to access data across platforms
Contribute to data modelling in Azure Data Warehouse and related analytics environments
Collaborate with Data Architects, Developers, Analysts and stakeholders to translate requirements into technical solutions
Identify opportunities to improve processing, architecture, performance and automation
Ensure solutions follow best practices for scalability, security, maintainability and data governance
Requisitos principales
Experience creating data xqbhyrx pipelines using Python on Databricks
Experience with curated and product layers of data engineering including Data Vault 2.0, Kimball (dimensional) and 3NF
Understanding of schema evolution, slowly changing dimensions, and data harmonisation
Practical experience using Declarative Automation Bundles (DABs) for deployment
Experience with git repositories and CI/CD pipelines (GitHub and ADO preferred)
Experience developing pipelines in an IDE environment (VSCode preferred)
collaboration
problem solving
communication
Azure Data Factory
Azure Databricks
Python

📌 Senior Data Engineer (Málaga)
🏢 Talan
📍 Málaga