Join our Data Analytics and AI team to drive innovation in a leading pharmaceutical company by building data foundations that accelerate life-changing medicines to patients
Job Summary
Join our Data Analytics and AI team to drive innovation in a leading pharmaceutical company by building data foundations that accelerate life-changing medicines to patients.
You will design, develop, and lead scalable data infrastructure, collaborate with cross-functional teams, and mentor technical teams to deliver new DA&AI solutions aligned with business needs.
AstraZeneca values kindness alongside ambition, encourages transparent collaboration, continuous learning, and the courage to challenge norms to redefine what digital, data, and AI can do for healthcare.
Matching Summary
Join our Data Analytics and AI team to drive innovation in a leading pharmaceutical company by building data foundations that accelerate life-changing medicines to patients.
Skills & Requirements
Must-have
Data Engineering expertise
Proficiency in Snowflake, DBT, Fivetran
Advanced SQL and Stored Procedures
DevOps and DataOps understanding
Data Mesh and Data Product concepts
Cloud platforms like AWS and Azure
Nice-to-have
Automation strategies with CI/CD
Containerisation with Kubernetes and Docker
Programming in Python and JavaScript
API development and integration
AI and machine learning application experience
Collaboration and innovation fostering
Key Requirements
Around 10 years in data and software engineering
Bachelor's or Master’s degree or equivalent experience
Experience in pharmaceutical or large multinational environments