Data Engineer - Microsoft Fabric
Role summary
A global retail brand is modernizing its data platform and seeks a Senior Data Engineer with 5+ years of experience and strong Microsoft Fabric expertise to lead the build. This role involves designing and building scalable Lakehouse solutions, developing ETL/ELT pipelines using Azure Data Factory and PySpark, and implementing Medallion Architecture. The engineer will collaborate with analytics and BI teams, contribute to data governance using Purview, and adhere to CI/CD best practices. Proficiency in PySpark, Python, and SQL is essential. A Microsoft Fabric Analytics Engineer Associate certification is preferred.
Microsoft Fabric Data Engineer — $130,000 – $150,000 + Benefits
A well-known global retail brand is modernizing its data platform and looking for a Senior Data Engineer with hands-on Microsoft Fabric experience to help lead the build.
This isn't a "maintain what's there" role. They're actively investing in their data infrastructure and need someone who can architect and deliver.
What You'll Be Doing:
- Design and build scalable Lakehouse solutions on Microsoft Fabric
- Develop and maintain ETL/ELT pipelines using Azure Data Factory and PySpark
- Implement Medallion Architecture across enterprise data domains
- Collaborate with analytics and BI teams to ensure clean, governed data delivery
- Contribute to data governance standards using Purview and CI/CD best practices
What They're Looking For:
- 5+ years in data engineering with strong Azure and Microsoft Fabric experience
- Hands-on with Microsoft Fabric Lakehouse, Pipelines, and Notebooks
- Proficiency in PySpark, Python, and SQL
- Experience with enterprise-scale ETL/ELT builds
- Microsoft Certified: Fabric Analytics Engineer Associate (DP-600) preferred
Why It's Worth a Look:
You'd be joining at the ground floor of a serious data modernization program at a household name brand, the kind of role where you'll have real ownership and visible impact.