Astrazeneca

Healthcare

DataEngineer,MedicalDataFoundation

$220–330k ~AI est. Warsaw, Poland FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Data Engineer, Medical Data Foundation at Astrazeneca. Skills: Data architecture, Data modeling, Cloud data integration, Data quality, Data governance. Onboard new data sets. Ensure data quality”

Industry & Context.

Healthcare
Problems you'll solve

Problem-solving skills

What They're Looking For.

Must Have

5+ years business analysis, 3+ years medical data analytics, 2+ years data modelling, Experience global organization, Experience matrix organization, Pharmaceutical industry experience, Healthcare industry experience, Advanced SQL, Data architecture & modeling, Cloud data integration, Data quality & governance, Privacy & compliance knowledge, Stakeholder leadership, Project delivery in global teams, AI & LLMs experience, Understanding data for ML/AI

Nice to Have

University Masters’ degree preferred, Python & automation experience, Business performance management experience

What You'll Do.

Onboard new data sets

Align data to business rules

Develop data strategies

Define data model vision

Define data sourcing approach

Define data transformation approach

Define data reconciliation approach

Identify data sources

Drive data design decisions

Ensure global data integrity

Ensure global reporting consistency

Communicate data issues

Oversee data accuracy processes

Communicate data models

Validate business rules

Resolve data conflicts

Support data architecture

Develop data initiatives

Prioritize data initiatives

Recommend data initiatives

Deploy data solutions

Collaborate on data lifecycle

Support data target architecture

Ensure data process consistency

Ensure data usage consistency

Champion data management best practices

Cooperate with vendors

Cooperate with stakeholders

Promote data management best practices

Ensure data protection standards

Ensure data security standards

Understand data privacy guidelines

Implement data privacy actions

Scan marketplace for data capabilities

Adapt data capabilities

Leverage data capabilities

Ensure data integrity

Support reporting workflows

How You'll Work.

Team & Collaboration

Analytics teams; Medical stakeholders; External vendors; IT partners; Data Offices; Matrixed teams; Global IT; Cross-functional teams

Communication Scope

Present complex topics

Process & Methodology

Project delivery, Prioritization, Resource management

Full 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 flow

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