Back
Mid-level generalist Data Engineer at a known medical-device firm with common skills, moderate applicant competition.
Core data engineering skills transferable, but regulated clinical domain and Power Platform preference increase fit sensitivity.
Explicit 6–8 years and mandatory Power Automate, Python, SQL, and REST API requirements increase filtering.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, build, and maintain automation solutions using Power Automate to reduce manual effort in evidence workflows.
Develop and operationalize scalable data pipelines and REST API integrations between systems like DistillerSR, SharePoint, and Power BI.
Create and maintain Power BI dashboards and enable self-service analytics by stakeholders using CDS-managed datasets.
Bachelor's degree in a technical or quantitative field (e.g., computer science, data engineering, information systems, mathematics, physics).
6–8+ years of relevant experience in IT, data engineering, automation, BI, or systems/business analytics roles.
Strong hands-on experience with Power Automate including calling REST APIs; demonstrated ability building REST API integrations.
Proficiency in scripting/programming (ideally Python) and working knowledge of SQL and relational data concepts.
Experienced in Microsoft Power Platform with additional skills in Python, Azure, Databricks, or Microsoft Fabric preferred.
Has delivered technical solutions in regulated environments such as medical device, pharma, CRO, or using clinical IT systems like DistillerSR.
Capable of operationalizing data architectures including data modeling, pipeline optimization, and building reusable automation solutions for multi-time zone collaboration.