Staff AI Data Engineer (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 potential60
5-year outlook
Staff-level data engineering roles in health tech command competitive salaries with strong growth potential as AI adoption in healthcare increases. Exact figures depend on location and company, but the trajectory is positive.
Clinical license
Not required
Applicant reach
narrow
Seniority
senior
Employment type
–
Date found
2026-08-26
Intelligence details
Why this is worth applying to
Only consider if you have substantial data engineering experience (7+ years) and a strong technical background. Clinicians without this depth will find the role a stretch, but those with dual clinical and engineering skills could be highly valuable.
Who should apply
Clinicians with a background in computer science, data engineering, or health informatics, and at least 7 years of experience in data engineering, especially those interested in AI/ML in healthcare.
CV angle
Emphasize any clinical or healthcare domain knowledge as a differentiator, but focus on technical skills like Python, SQL, pipeline building, and AI/ML experience. Highlight any work with healthcare data, compliance, or GDPR.
Skills to highlight
- Python
- SQL
- DBT
- BigQuery
- Dagster
- GCP
- ML lifecycle
- data pipeline design
- monitoring
- collaboration
Role summary
A senior data engineer role focused on building and maintaining data pipelines to support AI features in a healthcare platform, ensuring data quality, privacy, and scalability.
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