Senior Engineer, Data Engineering
il y a 2 semaines
About the Opportunity: One of our clients, a fast-growing MedTech innovator in the connected-health space, is seeking a Data Engineer to drive the development of scalable, compliant, and insight-driven data infrastructure supporting both commercial and clinical operations.
This is a hands-on role responsible for designing data pipelines, building robust models, and enabling self-service analytics that accelerate research, product development, and decision-making across multiple business units.
ETL & Data Ingestion
Design and monitor pipelines ingesting data from multiple internal and third-party systems (e.g., Ensure data accuracy, schema evolution, and full auditability.
Data Modeling & Normalization
Build dimensional models and maintain a unified data layer across patient, order, and device domains.
Develop and maintain dashboards for business and clinical teams.
Maintain a central data catalog and train stakeholders on data usage and governance.
Prototype and productionize machine-learning features, ensuring regulatory compliance.
Collaborate with external partners under secure data-sharing protocols.
Serve as the primary data liaison for Marketing, Sales, Finance, and Regulatory.
Deliver ad-hoc data requests in a timely and controlled manner.
Proactively surface insights and recommend data-driven improvements.
Core Data Engineering
strong SQL and Python skills
Dimensional modeling, Tableau or equivalent, and data governance best practices
Experience with pipeline monitoring tools and automated testing frameworks
Excellent English communication, documentation discipline, and stakeholder management in regulated settings
Salesforce SOQL; R for statistical analysis; External training opportunities
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