Data Engineer

IQVIA is a global provider of clinical research services, commercial insights, and healthcare intelligence for the life sciences and healthcare industries. The organization creates intelligent connections to accelerate the development and commercialization of innovative medical treatments to improve patient outcomes and population health worldwide. The Data Integration Team (DIT) focuses on onboarding and integrating healthcare data from hospitals into the IQVIA ecosystem by designing and operating robust ETL pipelines that transform complex clinical data into structured, high-quality datasets.

• Design, build, and maintain ETL pipelines to integrate hospital data into the IQVIA ecosystem;
• Map complex healthcare data sources, such as EHR systems, flat files, and APIs, to target data models;
• Extend and maintain shared ETL frameworks, mapping configurations, and reusable patterns;
• Execute and monitor historical and incremental data loads to ensure data quality and reliability;
• Implement data validation and quality checks within pipeline designs;
• Troubleshoot ETL failures, performance issues, and data inconsistencies;
• Collaborate with cross-functional teams to align on requirements and delivery timelines;
• Standardize ETL patterns, improve monitoring, and reduce operational overhead;
• Support deployments and environment setup in on-premise hospital infrastructures;
• Provide technical guidance and mentoring to team members;
• Participate in planning, prioritization, and continuous improvement of team processes.

• 5 Years of experience in data engineering, backend engineering, or a closely related field with significant ETL exposure;
• Strong experience with Python for building modular, testable, and scalable code;
• Solid experience building and maintaining end-to-end ETL pipelines in production;
• Strong SQL skills and experience with Microsoft SQL Server or PostgreSQL;
• Experience integrating or transforming clinical or healthcare datasets;
• Experience troubleshooting data pipelines in production environments;
• Ability to handle complex data mappings and transformations;
• Experience working with on-premise environments and infrastructure constraints;
• Understanding of the data pipeline lifecycle, including historical/incremental loads, monitoring, and error handling;
• Experience designing reusable ETL patterns;
• Ability to communicate clearly with technical and non-technical stakeholders;
• Experience working in collaborative teams;
• Nice to have: Experience with orchestration tools (e.g., Prefect, Airflow, Luigi), knowledge of healthcare data standards (FHIR, OMOP), experience with monitoring and support models, familiarity with EHR systems and hospital source data models, experience with DevOps practices (CI/CD, automation, containerization), exposure to data quality frameworks and validation strategies, experience with schema migrations and versioned database changes, experience mentoring or leading small technical initiatives.

• Annual base pay range of zł177,500.00 - zł329,600.00;
• Incentive plans, bonuses, and other forms of compensation may be offered depending on the position;
• Health and welfare benefits.