Data Engineering Lead (Fabric)
ConvaTec (company site, opens in a new tab)5+ yrsRemoteDirect career pageEst. 18–30 LPA
Posted 2d ago
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Job description
Structured overview of role & requirements
About This Role
- Own end-to-end design, development and delivery of full-stack data and BI solutions on Microsoft Fabric and Power BI.
- Build and maintain data ingestion pipelines, semantic models, and reports ensuring data accuracy and performance across enterprise-scale analytics environments.
- Lead and manage data engineering team members, including setting objectives, performance reviews, and professional development.
Minimum Requirements
- 5+ years experience in BI, analytics, or data engineering with full lifecycle data solution delivery.
- Strong technical skills in SQL, Python, Microsoft Fabric components (Data Factory, Lakehouse/Data Warehouse), Power BI and DAX.
- Bachelor's or Master’s degree in Computer Science, Data Science, Engineering, or related field (or equivalent experience).
- Work Experience Required: 5+ years relevant; Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Technically proficient across data ingestion, transformation, semantic modeling, and BI reporting with Microsoft Fabric and Power BI expertise.
- Experienced in implementing scalable data architectures, CI/CD pipelines, governance standards, and BI security (RLS).
- Demonstrated ability to translate ambiguous business requirements into reliable, maintainable analytics solutions and collaborate cross-functionally, including leadership of data engineers.