Senior Data & AI Platform Engineer

ABOUT THE OPERATIONS IT TEAM 

Join our global Operations IT team, supporting diverse areas such as Pharmaceutical Technology Development, Manufacturing & Global Engineering, and more. We combine cutting-edge science with leading digital technology platforms and data, impacting lives through advancements in data, analytics, and AI. Embrace a dynamic environment with endless opportunities for learning and growth. 

ROLE OVERVIEW 

We’re seeking a technical, forward-thinking Data & AI Platform Engineer to drive the evolution of our enterprise data ecosystem. You’ll be an expert in driving transformation across Data Platforms, applying an ML/Data-Ops mindset with a forte in ETL, Warehousing, Observability and Data Quality. 
 
This role goes beyond platform stewardship — it’s about embedding AI and GenAI into the fabric of our operations, enabling intelligent automation, cost optimization, and trusted data delivery. You’ll lead the charge in transforming how data is provisioned, governed, and consumed across AstraZeneca, ensuring platforms are scalable, compliant, and future-ready. 

RESPONSIBILITIES 

Platform Enablement & Improvement 

• Lead the design and execution of a comprehensive improvement plan covering: 

• New platform provisioning and onboarding 

• Usage analytics and cost transparency 

• Standards, governance, and regulatory compliance 

• User enablement through guides, documentation, and training 

• Change management and communications 

• FinOps and cost optimization strategies 

• Automation and process reengineering 

• Industrialization of data products and pipelines 

• Adoption tracking and continuous feedback loops 
   

Delivery Leadership & Quality Assurance 

• Oversee end-to-end delivery of platform initiatives, ensuring alignment with business goals, timelines, and KPIs. 

• Embed robust quality assurance practices to uphold data integrity, security, and operational resilience. 
   

Platform Strategy & Road Mapping 

• Partner with Data, Analytics & AI domain leads and BAU teams to synthesize project demand, pain points, and strategic priorities into a quarterly roadmap. 

• Champion platform maturity through iterative planning, stakeholder engagement, and outcome-driven delivery. 
   

Qualifications & Experience 

• Exceptional communication skills and high fluency in English, with the ability to influence across technical and non-technical audiences. 

• ETL experience is essential, moving Data at Scale with Streaming experience is advantageous. 

• Applies a DataOps and MLOps mindset in operationalising Data into Data Products. 

• Deep expertise in Snowflake and Fivetran, plus hands-on experience with at least two of the following: DataOps.live, Confluent (Kafka), SnapLogic, Cognite, Aera, Apache Iceberg, Neo4j.