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Popular mid-level data engineering role with broad BI skillset and enterprise visibility drives high competition.
Core data engineering and BI skills transfer across industries, though regulated healthcare experience is preferred.
Mandatory Microsoft Fabric/Power BI, DAX, SQL/Python, CI/CD and people management indicate high filtering strictness.
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Own end-to-end BI solution development including data ingestion, transformation, semantic modelling, and user-facing reports/apps using Microsoft Fabric and Power BI.
Lead design, build, and delivery of data pipelines, ETL/ELT processes, dimensional models, and Power BI datasets ensuring data quality and performance optimization.
Manage and support data governance, documentation, and collaborate with cross-functional teams including line management of data engineers.
Proven experience: Typically 5+ years in BI, analytics, or data engineering with end-to-end data solution delivery.
Strong technical skills with Microsoft Fabric components (Data Factory pipelines, dataflows Gen2, Lakehouse/Data Warehouse) and Power BI (DAX, semantic modelling).
Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, Engineering, or equivalent practical experience.
Work Experience Required: Approximately 5+ years in relevant data engineering and BI roles.
Experienced in delivering full data lifecycle solutions from ingestion to reporting with high data quality and governance in regulated environments.
Operates effectively at the intersection of technical data engineering and business stakeholder collaboration, translating ambiguous requirements into scalable solutions.
Demonstrates leadership capabilities including line management, peer review, and continuous improvement in data delivery practices.