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Location: Roma, LAZIO - Italia Può ottenere maggiori dettagli sulla natura di questa posizione e sui requisiti per i candidati leggendo quanto segue. Area: AI, Data & Hyperautomation Modalità di lavoro: Ibrido…
A Data Engineer will work on end-to-end projects using Microsoft Fabric and Azure, translating technical requirements into concrete solutions, with at least 2 years of experience required.
Designs and builds scalable data pipelines using Microsoft Fabric and Azure Databricks, focusing on API-driven ingestion, cross-platform data integration, and Power BI analytics with Direct Lake.
Designs and maintains scalable data pipelines using Microsoft Fabric and Azure Databricks, integrating data from multiple sources and building Power BI reports with Direct Lake for a U.S.-based client.
Build and optimize Microsoft Fabric data pipelines and semantic models in Python, enabling AI-powered analytics and reporting for business stakeholders.
Develop the Microsoft Fabric platform by building data ingestion pipelines and semantic models, utilizing Power BI and DAX expertise to deliver analytics solutions and support AI-enabled data search.
Own and evolve a modern data platform for a healthcare provider, using Microsoft Fabric to build AI-driven data products and trusted analytics.
Builds and maintains data pipelines and analytics platforms using Microsoft Fabric, Delta Lake, and Azure technologies to transform enterprise data into actionable insights for reporting and decision-making.
Designs and builds data pipelines and lakehouse platforms using Microsoft Fabric to enable enterprise analytics and Power BI reporting for Creditsafe Group’s business intelligence team.
Develops and enhances digital solutions to oversee consumer protection in digital spaces, focusing on system architecture, integrations, and automation to improve workflows and compliance in regulatory environments.
Designs and scales enterprise data architectures, migrating siloed systems to modern Microsoft Fabric and Databricks Lakehouse platforms.
A senior role focused on designing and deploying modern data platforms (Databricks/Fabric) to combine data and AI for business outcomes, with hands-on project work in Helsinki and Oulu.
Lead a team to build and maintain scalable, secure data platforms and pipelines in the cloud, enabling analytics and AI across a financial-services company.
Lead a team of data engineers in Kuala Lumpur to build and govern K3 Advisory Group’s Azure-based data platform, integrating third-party data and AI/LLM products while enforcing strict security and regulatory standards.
A DataOps Engineer responsible for managing ETL/ELT pipelines on Azure SQL Data Warehouse and Microsoft Fabric, ensuring data quality and supporting Power BI reporting and automation initiatives.
Designs and maintains a centralised data warehouse for Commonwealth Bank using Microsoft Fabric, PySpark, and SQL, ensuring scalable data solutions and secure data sharing across the organisation.
Build and maintain a centralised Microsoft Fabric data warehouse using PySpark and SQL to deliver trusted, analytics-ready data products for CommBank’s internal technology insights.
Designs and optimizes data pipelines, SQL Server databases, and analytics solutions using Microsoft Fabric, Power BI, and SQL Server to support business reporting and decision-making.
Builds and maintains Azure-based data pipelines, pipelines, and cloud data solutions; works with Python, SQL, and Azure tools like Databricks and Synapse to optimize data workflows and collaborate with stakeholders.
Builds and maintains data pipelines, models, and integrations for a gambling company’s operational and reporting systems, with a focus on reliability, scalability, and documentation while leveraging AI tools responsibly.
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