Data Engineer

We are looking for a Data Engineer to join a data modernization project focused on migrating legacy data environments and workloads to Microsoft Fabric. The professional will contribute to the transition from older server-based architectures to a modern, scalable data platform. Key Responsibilities - Participate in the migration of legacy data environments and workloads from on-premises/older servers to Microsoft Fabric. - Analyse existing data architectures, pipelines, integrations, and dependencies to support the migration strategy. - Design, develop, and migrate data pipelines and ETL/ELT processes into the new environment. - Transform and optimize existing data workflows to align with a modern cloud-based data architecture. - Ensure data quality, consistency, integrity, and reliability throughout the migration process. - Support data validation, testing, troubleshooting, and performance optimization during and after migration. - Collaborate with Data, BI, Infrastructure, and Architecture teams to ensure a smooth transition between legacy and modern environments. - Document data flows, migration processes, technical dependencies, and the target architecture. Requirements - Professional experience as a Data Engineer. - Solid experience with data integration and ETL/ELT processes. - Experience working with relational databases, SQL, and data modelling. - Knowledge of Microsoft Fabric and/or the Microsoft Azure data ecosystem. - Experience with data migrations or modernization projects is highly valued. - Understanding of legacy/on-premises data environments and their integration with modern cloud platforms. - Good analytical and problem-solving skills. - Good communication skills and ability to work with multidisciplinary teams. Nice to Have - Experience with Microsoft Fabric components such as Data Factory, Lakehouse, OneLake, Data Warehouse, or notebooks. - Experience with Azure Data Factory, Azure Data Lake, Synapse Analytics, or Databricks. - Python and/or PySpark knowledge. - Previous experience migrating on-premises data platforms to cloud-based environments. Working Model - Hybrid model: 2 days per week at the office. Localization - Lisbon, Portugal