Data Engineer
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Job Location:
Amsterdam - Netherlands
Monthly Salary:
Not Disclosed
Posted on:
7 hours ago
Vacancies:
1 Vacancy
Job Summary
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 onpremise while gaining exposure to our longerterm transition towards cloudready 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 datarelated issues.
In addition you will collaborate with a broader crossfunctional team including software engineers designers medical consultants and NLP engineers giving you exposure to both technical and domainspecific challenges in healthcare.
You are an enthusiastic and motivated starter in data engineering eager to learn and grow in a datadriven 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 realworld 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 Prefectbased 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 datafocused or software engineering role
- A Bachelors degree in a relevant field such as:
- Computer Science
- Data Science
- Software Engineering
- Or a comparable technical discipline
- 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 ObjectOriented 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 modelingdriven 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
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.
Required Experience:
IC
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
IQVIA is the Human Data Science Company™. We are inspired by the industry we serve and provide solutions that enable life sciences companies to innovate with confidence, maximize opportunities and ultimately drive human health outcomes forward. Our approach is Human Data Science – a d ... View more
