Data Engineer (Various Levels)
Summary
Data Engineering Consultant building and maintaining data pipelines and reporting-ready solutions on Microsoft data platforms (Azure Data Factory, Azure SQL, SSIS, Microsoft Fabric, SSAS/SSRS) for enterprise clients across cloud and on-premise environments. Open at professional, senior, and principal levels; hybrid, day shift.
Data Engineer (Various Levels)
You will be working with enterprise clients on modern Microsoft data platforms. The Data Engineering Consultant will design and build data pipelines and reporting-ready data solutions across cloud and on-premise environments.
What you will do
- Build and maintain data pipelines using Azure Data Factory, Azure SQL, and SSIS
- Develop data models and reporting solutions using Microsoft Fabric and related Microsoft tools
- Integrate data from cloud and on-premise sources
- Apply DevOps practices such as CI/CD and version control to data projects
- Perform data validation and ensure data accuracy and completeness
- Prepare technical documentation, including data flows and operational guides
- Manage assigned work items throughout the project lifecycle
What we are looking for
- Strong hands-on experience with Azure Data Factory, Azure SQL, and SSIS
- Working knowledge of Microsoft Fabric, SSAS, and SSRS
- Experience with data integration across cloud and on-premise environments
- Familiarity with CI/CD and source control for data pipelines
- Strong technical documentation and data validation skills
- Work setup: Hybrid, Day Shift
- Professional: 2–4 years of experience
- Senior: 5–8 years of experience
- Principal: 8+ years of experience