OverviewSi cree que es el candidato ideal para la siguiente ocasión, envíe su solicitud después de leer la descripción completa.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 / BeneficiosRemote within SpainMulticultural teamInternational projectsCET working hoursResponsabilidadesDesign, develop and maintain scalable data pipelines and ETL/ELT processes using Azure Data Factory and Azure DatabricksDevelop efficient data processing and transformation solutions with Python and DatabricksHandle large,



complex datasets with a focus on data quality and performanceContribute to modern data architectures within the Azure ecosystemApply Medallion Architecture principles to build robust data solutionsSupport Data Vault and Business Vault architectures on Databricks on AzureWork with Microsoft Fabric and OneLake, leveraging shortcuts to access data across platformsContribute to data modelling in Azure Data Warehouse and related analytics environmentsCollaborate with Data Architects, Developers, Analysts and stakeholders to translate requirements into technical solutionsIdentify opportunities to improve processing, architecture, performance and automationEnsure solutions follow best practices for scalability, security, maintainability and data governanceRequisitos principalesExperience creating data pipelines using Python xhfqzwm on DatabricksExperience with curated and product layers of data engineering including Data Vault 2.0, Kimball (dimensional) and 3NFUnderstanding of schema evolution, slowly changing dimensions, and data harmonisationPractical experience using Declarative Automation Bundles (DABs) for deploymentExperience with git repositories and CI/CD pipelines (GitHub and ADO preferred)Experience developing pipelines in an IDE environment (VSCode preferred)collaborationproblem solvingcommunicationAzure Data FactoryAzure DatabricksPython

📌 Ai Platform Engineer - Data Platform (Hybrid) (Málaga)
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📍 Málaga