Data Engineer, Medical Data Foundation

AstraZeneca plc; Warszawa; Híbrido; PLN 120 000 - 180 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Multisport card

Pension plan

Life insurance

Private medical care

Lunch card

Resumo da oferta

AstraZeneca plc in Warsaw is seeking a Data Engineer, Medical Data Foundation to shape data governance, deliver AI-ready datasets, and partner with IT, analytics, and medical stakeholders. The role demands strong data architecture, modeling, and cross-functional leadership in a hybrid setup.

The team focuses on implementing scalable data solutions, ensuring data quality, and enabling self-service analytics to drive business value across AZ platforms.

Qualificações

• University degree in a relevant field; Masters preferred.
• Experience in a global organization and cross-functional teams.
• Pharmaceutical or healthcare experience is a plus.

Responsabilidades

• Establish repeatable onboarding processes for new data sets and data products.
• Develop strategies to leverage data for deeper business insights and patient journeys.
• Define common data model vision, data sourcing and transformation approaches.
• Monitor data quality and ensure global reporting consistency.
• Lead data governance collaborations with IT, Privacy, and vendors.
• Support data lifecycle and architecture improvements across platforms.
• Promote best practices in data management with stakeholders.

Conhecimentos

Data architecture

Data modeling

Cloud data integration

Data quality & governance

SQL & validation

Privacy & compliance

Stakeholder leadership

Project delivery

AI & LLMs

Python & automation

Business performance management

Formação académica

Master's degree preferred

Bachelor's degree

Ferramentas

Snowflake

Synapse

ADF

Databricks

dbt

Collibra

Alation

Informatica

Descrição da oferta de emprego

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 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 Director,MDF(ADMDF)willenhance the way we capture,organize,andleveragedata to surface and deliver insights,toincrease business performance.We are seeking an individual to partner with IT toestablishgood data governance practices anddevelopastrategy forleveragingdata to gain a deeper insight into AZ’s businessADMDFwillpartner withthe 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 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 insightsADMDFwill 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 datato 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,acrossfunctions

• 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

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, 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 toWarsaw 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.

Please note that we are working in a hybrid model of 3 days per week from the office in Warsaw

Date Posted

16-paź-2026

Closing Date

29-paź-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.