IT Data Engineer - Microsoft Technologies

Overview In this role you will design, build, and evolve Coesia's Data Platform on Microsoft Fabric. You'll join the BI, Data & Analytics team to accelerate the company's data-driven transformation and develop solutions across the Microsoft ecosystem.

You will establish Fabric as the data and AI backbone, enabling secure, governed access for applications and AI agents. This position focuses on scalable data architectures, pipelines, and governance that empower analytics, ML, and AI initiatives.

Retribuzione / Benefits base salary from EUR 40.500 additional benefits (insurances) CCNL Metalmeccanico collective agreement equal opportunity employer Responsabilità Design, develop, and maintain end-to-end data pipelines on Microsoft Fabric Define scalable data architectures and models for BI, Advanced Analytics, ML, Generative AI, and Agentic AI Establish Fabric as the Data & AI backbone with governed, secure data access Develop data integration using SQL, Python, Spark/PySpark, and Fabric components Manage application lifecycle via Azure DevOps: repositories, CI/CD, deployment across environments Implement Data Governance covering Data Quality, Catalog, Glossary, Lineage, MDM, Privacy, and Security Translate business requirements into scalable technical solutions and monitor quality and performance Requisiti fondamentali 2-4 years of experience as Data Engineer or Analytics Engineer with Microsoft technologies Master's Degree in Computer Science or Computer Engineering Knowledge of Microsoft Fabric (Data Engineering, Lakehouse, Data Warehouse, Data Factory, Power BI) Advanced skills in SQL, data modelling, ETL/ELT, and Data Warehousing Experience with Python and Spark/PySpark Experience with Azure DevOps, Git, and CI/CD for Data solutions Knowledge of Data Governance, Data Quality, Lineage, Security, and Compliance Strong hands-on development mindset, autonomy, problem-solving, and collaboration with stakeholders Good command of English and Italian collaboration with cross-functional teams problem-solving and initiative autonomy and proactive communication Microsoft Fabric (Data Engineering, Lakehouse, Data Warehouse, Data Factory) SQL, data modelling, ETL/ELT Python and Spark/PySpark

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