Astrazeneca
Healthcare
DataEngineer,MedicalDataFoundation
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Engineer, Medical Data Foundation at Astrazeneca. Skills: Data architecture, Data modeling, Cloud data integration, Data quality, Data governance. Onboard new data sets. Ensure data quality”
Industry & Context.
Problem-solving skills
What They're Looking For.
Must Have
5+ years business analysis, 3+ years medical data analytics, 2+ years data modelling, Experience global organization, Experience matrix organization, Pharmaceutical industry experience, Healthcare industry experience, Advanced SQL, Data architecture & modeling, Cloud data integration, Data quality & governance, Privacy & compliance knowledge, Stakeholder leadership, Project delivery in global teams, AI & LLMs experience, Understanding data for ML/AI
Nice to Have
University Masters’ degree preferred, Python & automation experience, Business performance management experience
What You'll Do.
Onboard new data sets
Align data to business rules
Develop data strategies
Define data model vision
Define data sourcing approach
Define data transformation approach
Define data reconciliation approach
Identify data sources
Drive data design decisions
Ensure global data integrity
Ensure global reporting consistency
Communicate data issues
Oversee data accuracy processes
Communicate data models
Validate business rules
Resolve data conflicts
Support data architecture
Develop data initiatives
Prioritize data initiatives
Recommend data initiatives
Deploy data solutions
Collaborate on data lifecycle
Support data target architecture
Ensure data process consistency
Ensure data usage consistency
Champion data management best practices
Cooperate with vendors
Cooperate with stakeholders
Promote data management best practices
Ensure data protection standards
Ensure data security standards
Understand data privacy guidelines
Implement data privacy actions
Scan marketplace for data capabilities
Adapt data capabilities
Leverage data capabilities
Ensure data integrity
Support reporting workflows
How You'll Work.
Team & Collaboration
Analytics teams; Medical stakeholders; External vendors; IT partners; Data Offices; Matrixed teams; Global IT; Cross-functional teams
Communication Scope
Present complex topics
Process & Methodology
Project delivery, Prioritization, Resource management
Full Job Description
**Data Engineer, Medical Data Foundation** **Location: Warsaw** **Hybrid Model: 3 days per week from office** At AstraZeneca, we put patients first and strive to meet their unmet needs worldwide. Working here means being entrepreneurial, thinking big and working together to make the impossible a reality. If you are swift to action, confident to lead, willing to collaborate, and curious about what science can do, then you’re our kind of person. Medical Data Team supports an industry-leading Medical team, generating and communicating compelling medical evidence that changes the practice of medicine for the benefit of patients and shapes the future of AstraZeneca (AZ). The medical data foundation (MDF) seeks to make AI ready data available to the Medical business. The Associate Director, MDF (ADMDF) will enhance the way we capture, organize, and leverage data to surface and deliver insights, to increase business performance. We are seeking an individual to partner with IT to establish good data governance practices and develop a strategy for leveraging data to gain a deeper insight into AZ’s business ADMDF will partner with the analytics teams, our medical stakeholders, external vendors, and our IT partners to ensure that our data assets are governed effectively enabling us to deliver seamless analytics, drive business value and maximize the value of our existing technology platforms. They will take responsibility for data product management, self-service analytics, and metrics governance. ADMDF will operate with a high level of interactive communication, working with a broad range of partners on all levels, to set a clear direction and a data strategy. This will include working with other Data Offices to support AI enablement and build more holistic, enterprise-aligned insights ADMDF will be working independently as well as in matrixed teams, providing leadership and defining collaborative data governance. Results will be reached through understanding information flow
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