**Data Engineer - Real-World Data Expert**
We are seeking a highly skilled Data Engineer to support the full lifecycle of real-world clinical and imaging data.
* The role will involve collecting, ingesting, and processing large volumes of data from various sources.
* You will perform quality checks to ensure accuracy, completeness, and consistency of the data.
* Your expertise in building and maintaining complex data pipelines will be crucial in structuring and preparing datasets for analysis.
This is an excellent opportunity for a motivated and proactive individual who thrives in a collaborative environment. You will work closely with data scientists to prepare curated subsets for focused analysis and document data sources, processing steps, and quality control procedures.
Key Responsibilities:
* Collecting and ingesting large volumes of real-world data (RWD)
* Performing quality checks and ensuring data accuracy
* Building and maintaining complex data pipelines
* Cleaning, transforming, and normalizing raw data
Requirements:
* 3–7 years of experience as a Data Engineer or similar role
* Strong proficiency in Python and SQL
* Experience working with large-scale data pipelines
* Clear and confident communication skills in English
Nice to Have:
* Experience with medical data, imaging (DICOM), clinical research, or pharmaceutical environments
About the Role:
* Remote opportunity
* English fluency required
This is a chance to be part of meaningful work with long-term potential.