Description
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.
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.
Conditions
•Hybrid model: 2 days per week at the office.
