Data Engineer, Medical Data Foundation

AstraZeneca; Polska; Hybrid; PLN 180,000 - 260,000; Full time

Job summary

AstraZeneca in Warsaw is seeking a Data Engineer for the Medical Data Foundation to enhance data capture, governance, and analytics to deliver insights that support patient outcomes.

The role partners with IT and medical stakeholders to establish data architecture, quality controls, and self-service analytics, with a hybrid work model (3 days in the office).

Ideal candidates have a university degree, 5+ years in business analysis or data roles, and strong English communication.

Qualifications

• University degree; Masters' degree preferred.
• 5+ years' experience in business analysis or data-related roles.
• Strong communication in English and cross-functional collaboration.

Responsibilities

• Define and implement data governance standards and processes.
• Partner with IT and medical stakeholders to align data strategy.
• Support data architecture, modelling, and data quality initiatives.
• Capture, transform, and make data accessible for analytics and AI.
• Drive data-related design decisions and resolve data conflicts.
• Engage with external vendors and internal teams to deliver solutions.

Skills

Advanced data management

Healthcare domain knowledge

Project management

Stakeholder management

English communication

Education

University degree

Masters' degree preferred

Job description

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 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.

The 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 working with other Data Offices to support AI enablement and build more holistic, enterprise-aligned insights ADMDF will 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 Global IT to define solutions and implement in line with standards.

Working in this area will require key capabilities including advanced data 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 approach
• Identify Data sources and drive data-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 ensure 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 processes and usage, and champion best practices in data management
• Cooperate with vendors and multiple stakeholders on various seniority levels, across functions
• Promote 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

Education, Qualifications, and Experience

Essential:

University degree; Masters' degree preferred

5+ years' experience in business analysis, financia