Data Solutions Engineer
Core
Design and implement scalable end-to-end data solutions, data models, and integration frameworks to support analytics, KPI reporting, and operational insights for a global life sciences organization.
Role type
Senior Data Solutions Engineer (Cloud & Data Platform)
Builds
Enterprise data solutions, data-driven web applications, and analytics platforms
Domain
Life Sciences / Cloud Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL development, data modeling, ELT/ETL practices, Microsoft Azure data services, Microsoft Fabric, web application development (HTML5, CSS3, JavaScript), DevOps, CI/CD pipelines, infrastructure-as-code
Preferred skills
Microsoft Azure or SQL certifications
Technologies
Microsoft Azure, Microsoft Fabric, SQL, Azure Functions, HTML5, CSS3, JavaScript
Responsibilities
Design and implement scalable data solutions; develop and maintain data models and transformation pipelines; build front-end and back-end components for data-driven web applications; collaborate with global teams to enable self-service analytics; contribute to enterprise data governance initiatives; support continuous improvement of data platforms through DevOps and cloud technologies
Seniority
Senior, hands-on IC
