Data Engineer, Medical Data Foundation — Hybrid in Warsaw

AstraZeneca plc; Warszawa; Hybrid; PLN 120,000 - 180,000; Full time

Benefits offered by this job

Multisport card

Pension plan

Life insurance

Private medical care

Lunch card

Job summary

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.

Qualifications

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

Responsibilities

• 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.

Skills

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

Education

Master's degree preferred

Bachelor's degree

Tools

Snowflake

Synapse

ADF

Databricks

dbt

Collibra

Alation

Informatica

Job description

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.