Lead Full Stack Data Engineer
Core
Own end-to-end data products from ingestion and transformation through to semantic modelling, reporting, and user adoption, translating business requirements into scalable Analytics solutions.
Role type
Lead Full Stack Data Engineer (BI & Analytics)
Builds
Data pipelines, semantic models, Power BI reports/dashboards, and governed data foundations for AI/ML.
Domain
Healthcare technology / Data Engineering & Business Intelligence
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, Microsoft Fabric (Data Factory, Lakehouse), Power BI (DAX, semantic modelling), dimensional modelling, CI/CD, data governance
Preferred skills
Experience with ERP/CRM systems, predictive modelling, AI-assisted analytics
Technologies
Microsoft Fabric, Power BI, GitHub, SQL, Python
Responsibilities
Design and implement full-stack data solutions; develop and maintain ETL/ELT pipelines; build and optimize Power BI semantic models and reports; perform data analysis to identify trends; ensure data quality and governance compliance; lead and mentor data engineers.
Seniority
Senior, hands-on IC with leadership responsibilities