Cloud Data Engineer responsible for modern Data & AI solutions on Microsoft Azure. Collaborating with clients and teams to develop production - ready data platforms and support analytics.
About the role
- Senior Data Engineer driving end-to-end implementation of Microsoft Fabric. Leading data architecture design and technical solutions for data transformation.
Responsibilities
- Drive the end-to-end implementation of Microsoft Fabric across the organization.
- Lead the setup of ETL/ELT pipelines, design and implement the bronze, silver, and gold layers of our data Lakehouse.
- Oversee the configuration of key Fabric components including Data Factory, One Lake, and Power BI.
- Explore advanced capabilities such as Microsoft Copilot to accelerate analytics and automation.
- Collaborate with the Data & Analytics (D&A) team and business stakeholders to translate business needs into scalable data architecture.
- Build and optimize ETL/ELT pipelines using Microsoft Data Factory, Dataflows Gen2, and Fabric Data Engineering environments.
- Engage with executives and functional leaders to establish metrics, strategies, and implement roadmaps for enterprise-wide analytics.
- Curate and maintain a repository of data architecture principles, design patterns, and reusable components for data engineers and integrators.
Requirements
- Minimum 7+ years of professional IT experience across multiple organizations
- Proven track record in end-to-end data platform implementations, preferably within the Microsoft Azure and Fabric ecosystem.
- Expertise in Data Strategy and Architecture (strongly desired)
- Data Lakehouse / Data Warehouse design
- ETL/ELT frameworks and orchestration
- Data Integration and Management
- Data Quality, MDM, and Enrichment
- Business Intelligence and Analytics (Power BI, Fabric Warehouse)
- Hands-on experience with Microsoft Synapse, Azure Data Factory, SQL, Spark, and data modeling tools.
- Exceptional communication, presentation, and stakeholder management abilities.
- Strong collaboration and relationship-building skills across technical and non-technical teams.
- Bilingual proficiency in French, Spanish or German is preferred.
Benefits
- Financial support for professional development and training
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