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 supportsan industry-leadingMedicalteam, generating and communicating compelling medical evidence that changes the practice of medicine for the benefit of patients and shapes the future of AstraZeneca(AZ)Themedical data foundation(MDF)seekstomake AI ready data available to theMedicalbusiness
The Associate Director,MDF(ADMDF)willenhance the way we capture,organize,andleveragedata to surface and deliver insights,toincrease business performanceWe are seeking an individual to partner with IT toestablishgood data governance practices anddevelopastrategy forleveragingdata to gain a deeper insight into AZ’s business
ADMDFwillpartner with the analytics teams, our medical stakeholders, externalvendors,and our IT partners to ensure that our data assets are governed effectively enabling us to deliver seamless analytics, drive business value andmaximizethe value of our existing technology platforms.They will take responsibility for data product management, self-service analytics, and metrics governance.
ADMDFwilloperatewitha high levelof interactive communication, working with a broad range of partners on all levels, toseta clear direction and a data strategy.This will include workingwithother Data Offices to support AI enablement and build more holistic, enterprise-aligned insights
ADMDFwill be working independently as well as in matrixed teams, providing leadership and defining collaborative data governance.
Results will be reached through understanding information flows on a variety of different systems, interpreting what will be the right future solutions, cooperating and influencing with bothMedicalstakeholders as well asGlobal IT to define solutions and implement in line with standards.
Working in this area will require key capabilities includingadvanceddata managementskills, healthcare industry domain knowledge, solid project management, stakeholderinfluencingand relationship building skills.Excellent presentation and communication skills in Englishwill bea must.
Responsibilities
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 tomedical teams to use in analytical and AI solutions
Work with internal stakeholders to develop strategies forleveragingdata to gain a deeper insight into AZ’s business, impact onpatients’ journey, andcustomer engagement
Assisttheplatformsand process workstreams to define the common data model vision, data sourcing approach, data transformationapproachand data reconciliation approach
IdentifyData sources and drivedata-related key design decisions
Monitor the quality of the data to ensure global data integrity and global reporting consistency, communicate any issues to theappropriate teamsor persons
Oversee data accuracy processes, goals,assessmentandeffectivelycommunicating data models to development team members to ensure proper implementation andutilizationof the data structures
Query data sets to confirm/validatebusiness rules/requirements, andensure resolution of data conflicts between systems and within systems’ data universe
Supportoverall data architecture and develop, prioritize,recommendinitiatives,and deploy solutionsto improve and build upon the data architecture to support the business
Collaborate with ITforthe datalife cycle(incl.modelling efforts of Data Hub, Data Warehouse, Data Marts, or Analytic Platform projects)in support of the data target architecture
Ensure consistency ofdataprocessesand usage, andchampionbest practices in data management
Cooperate withvendors andmultiple stakeholders on various seniority levels,across functions
Promote best practices in data management and works closely with IT, Privacy teamsto ensure the strictest standards ofgovernance (protection,security)in all aspects of data management and reporting
Understandnew data privacy / datamanagement guidelines, and drive implementation of required actions
Scan marketplace to continuouslyidentifybest-in-class data capabilitiesthat can be adapted andleveragedbyAZ
Support Medical platforms to ensure data integrity and accuracy across ingestion, transformation, and reporting workflows
Education, Qualifications, and Experience
Essential
University degree; Masters’ degree preferred
5+ years’ experience in business analysis, financial analysis, or related field
3+ years of experience inmedical dataanalytics
2+ of data modelling experience
Experienceinworking and delivering in a global organization
Experience in working on a cross functional team in a matrix organization
Pharmaceutical or healthcare industry experience
Skills and Capabilities
E ssential:
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; ensuredglobal reporting consistency and integrity;ability to define andmaintaintaxonomies, controlled vocabularies, and metadata (Relevant tools: Collibra, Alation, Informaticaetc,)
SQL & validation: Advanced SQL (joins, window functions) tovalidatebusiness 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 ofstrong 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 ofstrong 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
Preferred
Python & automation: Python and SQL for data engineering/validation
Business performance management: Define OKRs/metrics; track value realization.
What we offer:
Welcome to Warsaw Site, one of over 400 sites here at AstraZeneca, providing a collaborative environment where everyone feels comfortable and able to be themselves is at the core of AstraZeneca’s priorities, it’s important to us that you bring your full self to work every day.
To help you maintain your best self, here’s a sneak peek into some of the things this site provides for you:
Please note that we are working in a hybrid model of 3 days per week from the office in Warsaw
Date Posted
09-cze-2026
Closing Date
22-cze-2026
AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.
We're transforming the future of healthcare by unlocking the power of what science can do for people, society and the planet. For more information, visit www.astrazeneca.com.
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