Data Engineer (Hybrid)

As a data engineer you will design, implement, and improve data pipelines in hospitals with a wide variety of data sources, mostly on-premises, with plans to become cloud-ready for international customers in the coming years. You will be working in a collaborative environment as part of a six-person data warehousing team. The team is responsible for a wide range of tasks, including data warehouse design, data mapping, ETL pipeline development, and providing support for new user requests and ETL-related issues. You will be actively involved in all of these activities, with the opportunity to specialize in a particular area if you wish. 

Additionally, you will be part of a larger, cross-functional and dynamic team consisting of software engineers, designers, medical consultants and NLP engineers. 

Key Responsibilities 

• Collaborate on the design and development of the CTcue datawarehouse & dataflow ecosystem using SQL and Python  
• Design & develop new testable python data pipelines primarily in a Prefect-driven architecture  
• Contribute to & provide support for existing pipelines either by providing operational support, python module maintenance or adjusting SQL layers   
• Develop SQL data transformations and connectors for new medical data sources  

Your qualifications include: 

• Deep expertise in Python, with a solid grasp of Object-Oriented Programming and abstraction design. 
• Confidence in writing SQL for both data definition (DDL) and data manipulation (DML). 
• Extensive expertise in at least one relational database system, preferably Microsoft SQL Server or PostgreSQL 
• 3 years' experience as data engineer
• Proficiency in modular development practices. 
• Hands-on experience designing and maintaining data pipelines using tools such as Prefect, Airflow, Luigi, or Dagster. 
• A strong focus on testability and scalability, often applying Test-Driven Development (TDD) principles. 
• The ability to clearly articulate and translate complex concepts to fellow data engineers and cross-functional teams. 
• Excellent communication skills in written and spoken English. 

Nice to have: 

• Experience or affinity with monitoring system, like DataOps (testing, CI/CD, deployment)  
• Eagerness to learn more and stay up to date with data engineering best practices  
• Affinity with the medical domain  
• Knowledge of medical data standards such as FHIR and/or OMOP

Your Profile 

You are a dedicated professional driven by a passion for transforming healthcare and making a meaningful impact. You thrive in data-centric environments, confidently mapping data and building robust data pipelines. With a strong desire for continuous learning and personal growth, you bring curiosity and clarity to complex, ambiguous challenges. You excel in self-organizing teams and embrace autonomy in your work. 

About CTcue/IQVIA 

CTcue is a privacy-first patient search engine and medical dataset builder, known internationally as Patient Finder Solution (PFS). We combine structured and unstructured medical data (such as notes, referral letters, observations) from various EHRs into a generic data-model on which our application operates. This enables our users to find specific patients and structure any patient data, with which they improve outcomes for healthcare patients and providers. Our users include medical scientists, hospital data scientists and clinicians. Our product is currently used in over 30 hospitals in The Netherlands and Belgium and we're expanding into Europe. We are looking for a medior data engineer to join our data warehouse team. 

What are you going to do? 

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