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AstraZeneca

Data Engineer, Medical Data Foundation

Discovered
AstraZeneca
Poland - WarsawFull timePosted 10 days ago (Aug 3, 2026)

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 .   Th e 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   work ing   with   other Data Offices to support AI enablement and build more holistic, enterprise-aligned insights   ADMDF   wi ll 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 both   Medical   stakeholders as well as   G lobal IT to define solutions and implement in line with standards.      Working in this area will require key capabilities including   advanced   d ata management   skills, healthcare industry domain knowledge, solid project management, stakeholder   influencing   and relationship building skills.   Excellent presentation and communication skills in English   will be   a 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 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 approac h    • Identify   Data sources and drive   d ata-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   e nsure 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   process es   and usage, and   champion   best practices in data management    • Cooperate with   vendors and   multiple stakeholders on various seniority levels ,   across  functions   • P romote 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

Essential

• 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

Skills and Capabilities

@@HD@@  E ssential:   @@/HD@@ • 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; ensure d   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

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: • 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.

Date Posted

03-sie-2026

Closing Date

11-sie-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.

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