Data Engineer, Medical Data Foundation
AstraZeneca15 days ago
Warsaw, PolandSenior
Responsibilities
- Establish a repeatable process for onboarding datasets into medical data products while ensuring quality, business-rule alignment, findability, and accessibility.
- Develop data strategies and define data sourcing, transformation, reconciliation, and common data model approaches with internal stakeholders and platform workstreams.
- Identify data sources, make data-related design decisions, and support data architecture initiatives across data hubs, warehouses, marts, and analytics platforms.
- Monitor data quality, accuracy, integrity, reporting consistency, and resolution of conflicts across systems.
- Define and communicate data models, taxonomies, controlled vocabularies, metadata, quality rules, and governance practices.
- Build or support ELT/ETL pipelines, lineage, orchestration, and data lifecycle activities with IT.
- Use advanced SQL to validate business rules and reconcile cross-system data conflicts.
- Partner with IT and Privacy teams to implement data protection, security, and governance controls.
- Collaborate with Medical, IT, analytics, vendors, and other stakeholders to deliver global, cross-functional data programs.
- Support AI enablement and develop AI-ready datasets, including data structures for text analytics and LLM use cases.
- Scan the marketplace for data capabilities that can improve AstraZeneca’s medical data foundation.
Requirements
- University degree required; a master’s degree is preferred.
- At least 5 years of experience in business analysis, financial analysis, or a related field.
- At least 3 years of experience in medical data analytics.
- At least 2 years of data modeling experience.
- At least 3 years of experience building ELT/ETL pipelines and implementing lineage or orchestration.
- Expertise in logical and physical data modeling, mappings, conformed dimensions, and slowly changing dimensions.
- Experience with enterprise data platforms and cloud data integration.
- Experience building or deploying text models and understanding AI-ready datasets, analytics, ML, taxonomies, ontologies, knowledge graphs, and semantic structures.
- Experience establishing data quality rules, monitoring, issue resolution, metadata, taxonomies, and controlled vocabularies.
- Advanced SQL skills, including joins and window functions, for validation and reconciliation.
- Working knowledge of data protection and security, with experience implementing controls with IT or Privacy teams.
- Strong stakeholder leadership, presentation, facilitation, communication, and relationship-building skills.
- Experience working in global, cross-functional, matrixed organizations and delivering multi-workstream programs.
- Pharmaceutical or healthcare industry experience required.
- Python and SQL for data engineering and validation are preferred.
- Experience defining OKRs and metrics and tracking business value realization is preferred.
Benefits
- Hybrid work model requiring three days per week in the Warsaw office.
- Multisport card, pension plan, life insurance, private medical care, lunch card, and after-work events.
- Collaborative, inclusive, and sustainable office environment with a supportive team.
About AstraZeneca
AstraZeneca is a global biopharmaceutical company that discovers, develops, manufactures, and commercializes prescription medicines for patients and healthcare systems. Its portfolio spans oncology, cardiovascular, renal and metabolism, respiratory and immunology, and rare diseases (expanded by the 2021 acquisition of Alexion). Founded in 1999 and headquartered in Cambridge, UK, it is a public company listed on the London Stock Exchange and Nasdaq, generating revenue primarily from drug sales and partnerships.