Location: Offsite (Client based in Barcelona, Spain)Duration: 220 days, renewable up to 3 yearsAbout SeidorSeidor is a global technology consulting firm specializing in digital transformation, cloud migration, AI & ML integration, and the development of customized IT solutions. With a strong presence across Europe and Latin America, Seidor helps businesses optimize their processes, improve performance, and drive innovation through cutting-edge technologies. Our diverse expertise spans various domains, including enterprise resource planning (ERP), data management, cybersecurity, and business intelligence, with a focus on delivering scalable, secure, and sustainable solutions for our clients.Job DescriptionWe are looking for an experienced Microsoft Fabric Data Engineer (MSFDE) to join a public sector client based in Barcelona. This role is fully offsite, offering the flexibility to work remotely while contributing to key Microsoft Fabric data engineering projects.Key ResponsibilitiesLakehouses & Data Warehouses: Design and implement lakehouses and data warehouses in Microsoft Fabric/Azure Data Factory using automation frameworks (e.g., ProData Fabric DWA®). Data Pipelines: Build and maintain data pipelines in Azure Data Factory and Microsoft Fabric leveraging automation frameworks. Legacy ETL Processes: Develop and support SSIS packages for legacy ETL processes. Data Migrations: Plan and execute data migrations from on-premises to cloud environments. Scalable Data Processing: Use PySpark for scalable, large-volume data processing. Advanced T-SQL Queries: Write advanced T-SQL queries and perform performance tuning and optimization. Scripting & Automation: Apply scripting (Python, PowerShell) and CI/CD automation to streamline data workflows. Data Modeling: Design scalable star and snowflake schema data models for enterprise data warehousing. Reporting & Visualization: Support reporting and visualization tools such as Power BI and Tableau. RequisitosMandatory Requirements:Bachelor's or Master's degree in a STEM field. 4 years of experience in designing and implementing lakehouses and data warehouses in Microsoft Fabric/Azure Data Factory using automation frameworks. 4 years of experience in building and maintaining data pipelines in Azure Data Factory and Microsoft Fabric leveraging automation frameworks. 5 years of experience in developing and supporting SSIS packages for legacy ETL processes. 5 years of experience in planning and executing data migrations from on-premises to cloud environments. 5 years of experience using PySpark for scalable, large-volume data processing. 5 years of experience writing advanced T-SQL queries and performing performance tuning and optimization. 4 years of experience applying scripting (Python, PowerShell) and CI/CD automation to streamline data workflows. 5 years of experience designing scalable star and snowflake schema data models for enterprise data warehousing. 4 years of experience supporting reporting and visualization tools such as Power BI and Tableau. English proficiency at B2 level or higher. Optional RequirementsMicrosoft Certified: Azure Data Engineer Associate (DP-203). Fabric Analytics Engineer Associate (DP-600). Fabric Data Engineer Associate (DP-700).