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Data Engineer (Various Levels)

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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

Skills

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See also

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