Amsterdam, Netherlands \| Full time \| Hybrid \| R1513753 The role and your profile
As a Junior Data Engineer, you will support the design, development, and maintenance of data pipelines used in hospital environments. You will work with a variety of medical data sources, primarily on‑premise, while gaining exposure to our longer‑term transition towards cloud‑ready solutions.
You will be part of a Data Warehousing team, working closely with more experienced data engineers who will support your learning and development. The team is responsible for data warehouse design, data mapping, ETL pipeline development, and supporting new user requests and data‑related issues.
In addition, you will collaborate with a broader cross‑functional team including software engineers, designers, medical consultants, and NLP engineers, giving you exposure to both technical and domain‑specific challenges in healthcare.
You are an enthusiastic and motivated starter in data engineering, eager to learn and grow in a data‑driven healthcare environment. You enjoy working with data, are curious about how systems fit together, and are comfortable asking questions when facing new or ambiguous challenges. You appreciate working in a collaborative team and are motivated by making a real‑world impact.Key Responsibilities* Collaborate with domain experts (e.g. medical consultants, analysts) to understand clinical workflows and data meaning
Help validate business logic and semantic correctness of data transformations (e.g. ensuring data reflects intended clinical or operational concepts)
Collaborate on the development and maintenance of the CTcue data warehouse and data flows using Python and SQL
Assist in building and improving data pipelines within a Prefect‑based orchestration setup
Help maintain and troubleshoot existing pipelines by fixing bugs and providing operational support
Develop and adapt SQL transformations and connectors for new medical data sources under guidance
Contribute to defining data quality checks, edge cases, and validation rules, especially when onboarding new data sources
Learn to write testable, maintainable code and gradually take ownership of smaller pipeline components
Requirements* 1-2 years of professional experience in a data‑focused or software engineering role
A Bachelor’s degree in a relevant field such as:
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Computer Science
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Data Science
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Software Engineering
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Or a comparable technical discipline
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Equivalent practical experience (e.g. bootcamps, strong project portfolio) will also be considered
Basic proficiency in SQL, including writing queries for data selection and transformation
A solid foundation in Python, with basic understanding of Object‑Oriented Programming
Familiarity with writing clean, modular code, or a strong willingness to learn best practices
Initial experience (academic, internship, or early professional) with data pipelines or workflow tools such as Prefect, Airflow, Luigi, or Dagster
Experience with, or interest in, working with relational databases (e.g. PostgreSQL or Microsoft SQL Server)
Good communication skills in written and spoken English and Dutch
Nice to have:* Interest in data analysis, data semantics, or domain driven data modeling‑driven data modeling
A proactive mindset and eagerness to continuously learn and improve your technical skills
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 clinical data standards such as FHIR and/or OMOP
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
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.