Only EU Citizens are eligible to apply for this position.
Proficiency in Python
Job Overview
We are seeking a Data Engineer to design build and maintain robust data solutions that enable efficient data processing and analytics. The role involves developing scalable data pipelines integrating diverse data sources and ensuring data quality and reliability across systems.
Essential Functions
- Design develop and maintain data pipelines and ETL processes to support analytics and reporting needs.
- Work with large datasets ensuring data integrity performance optimization and scalability.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions aligned with business objectives.
- Implement best practices for data modeling storage and retrieval.
- Ensure compliance with data governance and security standards.
- Troubleshoot and optimize data workflows for efficiency and reliability.
Qualifications
- Bachelors Degree in Computer Science Data Engineering or a related field (or equivalent experience).
- 3 years of experience in data engineering
Technical Expertise
- Proficiency in Python for data processing and automation.
- Strong experience with relational databases (e.g. MySQL PostgreSQL) including schema design and query optimization.
- Experience with data integration tools and building RESTful APIs for data services.
- Familiarity with cloud platforms (AWS Azure or GCP) and containerization (Docker).
- Knowledge of DevOps practices and CI/CD pipelines (e.g. GitHub Actions).
- Experience working in Agile/Scrum environments.
Nice to Have
- Hands-on experience designing and maintaining data pipelines using tools such as Prefect or Airflow.
- Knowledge of medical data standards such as FHIR and/or OMOP.
- Exposure to big data frameworks (e.g. Spark Hadoop) and data warehousing solutions.
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
Only EU Citizens are eligible to apply for this position.Proficiency in PythonJob OverviewWe are seeking a Data Engineer to design build and maintain robust data solutions that enable efficient data processing and analytics. The role involves developing scalable data pipelines integrating diverse da...
Only EU Citizens are eligible to apply for this position.
Proficiency in Python
Job Overview
We are seeking a Data Engineer to design build and maintain robust data solutions that enable efficient data processing and analytics. The role involves developing scalable data pipelines integrating diverse data sources and ensuring data quality and reliability across systems.
Essential Functions
- Design develop and maintain data pipelines and ETL processes to support analytics and reporting needs.
- Work with large datasets ensuring data integrity performance optimization and scalability.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions aligned with business objectives.
- Implement best practices for data modeling storage and retrieval.
- Ensure compliance with data governance and security standards.
- Troubleshoot and optimize data workflows for efficiency and reliability.
Qualifications
- Bachelors Degree in Computer Science Data Engineering or a related field (or equivalent experience).
- 3 years of experience in data engineering
Technical Expertise
- Proficiency in Python for data processing and automation.
- Strong experience with relational databases (e.g. MySQL PostgreSQL) including schema design and query optimization.
- Experience with data integration tools and building RESTful APIs for data services.
- Familiarity with cloud platforms (AWS Azure or GCP) and containerization (Docker).
- Knowledge of DevOps practices and CI/CD pipelines (e.g. GitHub Actions).
- Experience working in Agile/Scrum environments.
Nice to Have
- Hands-on experience designing and maintaining data pipelines using tools such as Prefect or Airflow.
- Knowledge of medical data standards such as FHIR and/or OMOP.
- Exposure to big data frameworks (e.g. Spark Hadoop) and data warehousing solutions.
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
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