Senior Data Engineer Python/GCP (x/f/m)
Doctolib · Paris, Paris, France · GB
Posted 60+ days ago
Health Tech
On-site
Not yet analysed
Demand90
Career growth85
Healthcare fit35
Remote potential70
5-year outlook
Senior data engineers in health tech typically command competitive salaries, with strong growth potential as AI in healthcare expands. Expect above-market compensation for senior roles in Europe, with potential for equity and bonuses.
Clinical license
Not required
Applicant reach
broad
Seniority
senior
Employment type
–
Date found
2026-08-26
Intelligence details
Why this is worth applying to
Clinicians with a strong data engineering background (5+ years) and GCP expertise should consider this role, as it offers a chance to impact healthcare at scale. However, without deep technical experience, it's not a realistic entry point into non-clinical careers.
Who should apply
Healthcare professionals with prior software engineering or data engineering experience, especially those who have built data pipelines for AI/ML in clinical or research settings. Also suitable for IMGs or healthcare graduates with a computer science background.
CV angle
Highlight any experience with healthcare data (EHR, clinical datasets, research data) and emphasize technical skills in Python, SQL, GCP, and data pipeline architecture. Frame clinical experience as domain expertise that informs data governance and compliance for sensitive health data.
Skills to highlight
- Python
- SQL
- Google Cloud Platform (GCP)
- Data Pipeline Design
- NoSQL Databases
- Vector Databases
- RAG Systems
- Data Governance
Role summary
Senior Data Engineer at Doctolib's AI team, responsible for building and optimizing data infrastructure for AI models (LLM, VLM, RAG) on GCP, supporting healthcare AI applications for millions of patients and professionals.
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