Data Engineer Confirm / Senior Microsoft Fabric Ecosystem

Job Description Roles & Responsibilities Data Engineer Confirm: Main mission Design, develop and maintain robust and performant data pipelines in the Microsoft Fabric environment, in collaboration with support teams and architects. Responsibilities: Develop ingestion and transformation pipelines (Data Factory, Notebooks, Dataflows Gen2) Participate in data modeling in Lakehouses Ensure the quality, traceability and performance of treatments Collaborate with Data Analysts to feed Power BI models Document flows, business rules and best practices Participate in testing, industrialization and support of solutions Qualifications: Mastery of Microsoft Fabric (Data Factory, Lakehouse, Synapse, Power BI) Good level in SQL, Spark, Python Knowledge of data modeling principles (dimensional, normalized) Team spirit, rigor, autonomy Experience: 3-6 years in data engineering Data Engineer Senior: Responsibilities: Design advanced data processing architectures (batch, real-time, hybrid) Technically supervise confirmed and junior Data Engineers Optimize treatment performance and cost management Define and enforce development and quality standards Collaborate with architects to align solutions with the target architecture Participate in technological watch and continuous improvement of the platform Qualifications: Expertise on Microsoft Fabric (OneLake, Synapse, Notebooks, Data Factory, Power BI) Advanced mastery of SQL, Spark, Python, CI/CD Experience in industrialization, monitoring, security of flows Technical leadership, ability to train and supervise Experience: 6-10 years in data engineering, including at least 2 on Fabric or Azure Desired Candidate Profile Mastery of Microsoft Fabric (Data Factory, Lakehouse, Synapse, Power BI) Good level in SQL, Spark, Python Knowledge of data modeling principles (dimensional, normalized) Team spirit, rigor, autonomy Experience: 3-6 years in data engineering Expertise on Microsoft Fabric (OneLake, Synapse, Notebooks, Data Factory, Power BI) Advanced mastery of SQL, Spark, Python, CI/CD Experience in industrialization, monitoring, security of flows Technical leadership, ability to train and supervise Experience: 6-10 years in data engineering, including at least 2 on Fabric or Azure Company Industry IT - Software Services Department / Functional Area IT Software Keywords Data Engineer Confirm / Senior Microsoft Fabric Ecosystem Get real-time job updates only on our App