Data Engineer, Medical Data Foundation
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Job Summary
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 youre our kind of person.
Medical Data Team supportsan industry-leadingMedicalteam generating and communicating compelling medical evidencethat changes the practice of medicine for the benefit of patientsand shapes the future of AstraZeneca(AZ).Themedical data foundation(MDF)seekstomake AI ready data available to theMedicalbusiness.
The Associate DirectorMDF(ADMDF)willenhance the way we captureorganizeandleveragedata to surface and deliver insightstoincrease business performance.We are seeking an individual to partner with IT toestablishgood data governance practices anddevelopastrategy forleveragingdata to gain a deeper insight into AZs business
ADMDFwillpartner withthe analytics teams our medical stakeholders externalvendorsand 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 fordata 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 includeworkingwithother 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 AZs 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 datato ensure global data integrity and global reporting consistency communicate any issues to theappropriate teamsor persons
Oversee data accuracy processes goalsassessmentandeffectivelycommunicating 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 prioritizerecommendinitiativesand 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 levelsacrossfunctions
Promote best practices in data management and works closely with IT Privacy teamsto ensure the strictest standards ofgovernance (protectionsecurity)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
Essential:
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 Databricksdbt); 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 taxonomiesontologies 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 toWarsaw Siteone 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 AstraZenecas priorities its important to us that you bring your full self to work every day.
To help you maintain your best self heres a sneak peek into some of the things this site provides for you:
- 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.
Please note that we are working in a hybrid model of 3 days per week from the office in Warsaw
Date Posted
09-cze-2026Closing Date
22-cze-2026AstraZeneca 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.
Required Experience:
IC
About Company
AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, ... View more
