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About the Role
The Data Engineer will play a critical role in enabling the data, compute, and engineering foundations of our LLM platforms. The role focuses on building and operating scalable data pipelines, data lineage, and platform integrations required to support large‑scale model training, evaluation, and experimentation across IQVIA market use cases.
Responsibilities
- Support data engineering activities for LLM initiatives, including onboarding and transformation of large‑scale healthcare datasets for model training and evaluation.
- Design, evaluate, and evolve data transformation pipelines across Snowflake, and AWS‑based environments, including performance evaluation of existing research workflows for production scale up.
- Enable data availability and migration to high‑performance compute environments, ensuring data is accessible, performant, and version‑controlled for modelling teams.
- Implement data lineage, versioning, and dataset reference management to ensure reproducibility and traceability across training and evaluation pipelines.
- Collaborate with modelling, MLOps, and infrastructure teams to support model lifecycle workflows, including integration with evaluation pipelines and model registries.
- Coordinate with stakeholders to define data requirements and timelines.
Requirements
- Strong experience in big data engineering and distributed data processing.
- Hands‑on expertise with Snowflake/Snowpark, AWS data services, and large‑scale datasets.
- Experience supporting ML/AI workloads, including training and evaluation data pipelines.
Salary/Compensations
- zł142,100.00 - zł263,800.00
About the Company
- IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries.
- We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide.
- Learn more at https://jobs.iqvia.com
Equal Opportunity
- IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud.
- All information and credentials submitted in your application must be truthful and complete.
- Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law.
- We appreciate your honesty and professionalism.
- IQVIA actively supports diversity and inclusion in the workplace.
- We believe that a work environment that embraces diversity will give us a competitive advantage in the global marketplace and enhance our success.
- We believe that an inclusive and respectful workplace culture fosters a sense of belonging among our employees, builds a stronger team, and allows individual employees the opportunity to maximize their personal potential.