Design, develop, and maintain robust ETL/ELT pipelines ensuring data is efficiently extracted, transformed, and loaded across systems
Lead data refactoring and integration projects across the platform, optimizing data flows and performance
Maintain high-quality documentation for data pipelines and architecture
Contribute to data governance initiatives to ensure data quality, security, and compliance
Work closely with Dynamics 365, Power Platform, and other cross-functional teams to deliver integrated data solutions
Engage stakeholders to understand requirements and provide technical guidance

Minimum of 3 years of experience in data engineering
Deep expertise in Microsoft SQL (T-SQL)
Hands-on experience developing and orchestrating pipelines with Azure Data Factory
Proven experience working with Microsoft Dynamics 365 and the Power Platform ecosystem
Strong experience with Microsoft Dataverse (Common Data Service)
Solid understanding of data modeling, data warehousing concepts, and ETL best practices in a cloud environment
Excellent communication skills, able to translate complex data concepts for technical and non-technical stakeholders
Ability to troubleshoot data issues, optimize performance, and ensure reliability and accuracy of data pipelines

Senior Data Engineer

Key skills