Summary: Seeking an experienced Microsoft Fabric Data Engineer to lead data engineering projects, focusing on lakehouses, data warehouses, and robust data pipelines. Highlights: 1. Fully offsite role offering remote flexibility 2. Contribute to key Microsoft Fabric data engineering projects 3. Opportunity to work with cutting-edge technologies **Location:** Offsite (Client based in Barcelona, Spain) **Duration:** 220 days, renewable up to 3 years **About Seidor:** Seidor 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 Description:** We 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 Responsibilities:** * **Lakehouses \& 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. **Mandatory 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 Requirements:** * Microsoft Certified: Azure Data Engineer Associate (DP\-203\). * Fabric Analytics Engineer Associate (DP\-600\). * Fabric Data Engineer Associate (DP\-700\).