Data engineer

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.

• Establish a repeatable, defined process for rapidly and efficiently onboarding new data sets into a medical data foundation consisting of several data products, ensuring the data is of high quality, aligns to our business rules and is findable and accessible to medical teams to use in analytical and AI solutions
• Work with internal stakeholders to develop strategies for leveraging data to gain a deeper insight into AZ’s business, impact on patients’ journey, and customer engagement
• Assist the platforms and process workstreams to define the common data model vision, data sourcing approach, data transformation approach and data reconciliation approach
• Identify Data sources and drive data-related key design decisions
• Monitor the quality of the data to ensure global data integrity and global reporting consistency, communicate any issues to the appropriate teams or persons
• Oversee data accuracy processes, goals, assessment and effectively communicating data models to development team members to ensure proper implementation and utilization of the data structures
• Query data sets to confirm/validate business rules/requirements, and ensure resolution of data conflicts between systems and within systems’ data universe
• Support overall data architecture and develop, prioritize, recommend initiatives, and deploy solutions to improve and build upon the data architecture to support the business
• Collaborate with IT for the data life cycle (incl. modelling efforts of Data Hub, Data Warehouse, Data Marts, or Analytic Platform projects) in support of the data target architecture
• Ensure consistency of data processes and usage, and champion best practices in data management
• Cooperate with vendors and multiple stakeholders on various seniority levels, across functions
• Promote best practices in data management and works closely with IT, Privacy teams to ensure the strictest standards of governance (protection, security) in all aspects of data management and reporting
• Understand new data privacy / data management guidelines, and drive implementation of required actions
• Scan marketplace to continuously identify best-in-class data capabilities that can be adapted and leveraged by AZ
• Support Medical platforms to ensure data integrity and accuracy across ingestion, transformation, and reporting workflows

• University degree; Masters’ degree preferred
• 5+ years’ experience in business analysis, financial analysis, or related field
• 3+ years of experience in medical data analytics
• 2+ of data modelling experience
• Experience in working and delivering in a global organization
• Experience in working on a cross functional team in a matrix organization
• Pharmaceutical or healthcare industry experience
• Data architecture & modeling: Expert in logical/physical modeling, mappings, conformed dimensions/SCDs; experience with enterprise data platforms (e.g., Snowflake/Synapse).
• Cloud data integration: 3+ years building ELT/ETL pipelines (e.g., ADF, Databricks, dbt); implemented lineage/orchestration.
• Data quality & governance: Set up quality rules, monitoring, and issue resolution; ensured global reporting consistency and integrity; ability to define and maintain taxonomies, controlled vocabularies, and metadata (Relevant tools: Collibra, Alation, Informatica etc,)
• SQL & validation: Advanced SQL (joins, window functions) to validate business rules and reconcile cross-system conflicts.
• Privacy & compliance: Working knowledge of data protection/security; partnered with IT/Privacy to implement controls.
• Stakeholder leadership & communication: Influence across Medical, IT, vendors; present complex topics clearly to all levels; record of strong facilitation skills to align cross-functional teams on standards and definitions
• Project delivery in matrixed/global teams: Plan, prioritize, and deliver multi-workstream programs; manage resources and outcomes; evidence of strong problem-solving skills to bring clarity in ambiguous environments
• AI& LLMs: Experience building/deploying models for medical text; understanding of how data underpins analytics/ML and AI-ready datasets and familiarity with concepts like taxonomies, ontologies, knowledge graphs, and semantic structures
• Будет плюсом: Python & automation: Python and SQL for data engineering/validation; Business performance management: Define OKRs/metrics; track value realization

• The best team to support you,
• Multisport card,
• Pension plan,
• Life insurance,
• after-work events,
• private medical care
• lunch card,
• bright and spacious environment,
• sustainable office working environment.