Staff AI Data Engineer — Build Scalable AI Pipelines

Doctolib; Paris; Hybride; EUR 110 000 - 150 000; Plein temps

Avantages offerts par ce poste

Health insurance

Parental Leave

Mental health and coaching services

Disability accommodations

EU/UK remote work days

RTT and lunch voucher

Résumé du poste

Doctolib seeks a Staff Data Engineer - AI to join its AI team in Paris. You will build robust data pipelines powering AI features for healthcare professionals and patients, with cross-team collaboration in an agile environment.

Responsibilities include data capture, GDPR-compliant ingestion, monitoring, and providing datasets for AI model development. Hybrid work with 2 days remote per week is offered.

Qualifications

• At least 7 years of experience as Senior or Staff Data Engineer or similar AI data role.
• Proficient in Python, SQL, and DBT for building data pipelines.
• Hands-on experience building data pipelines for AI/ML systems in production and knowledge of ML lifecycle.

Responsabilités

• Design and implement data capture and ingestion systems ensuring data quality, privacy compliance (anonymization, consent, retention), and GDPR adherence
• Build, optimize and maintain end to end data pipelines using Python, Dagster, BigQuery, SQL/Jinja, DBT
• Enable AI model development by providing datasets for training, evaluation, and annotation workflows
• Develop custom monitoring solutions including online metrics pipelines and dashboards (Amplitude, Metabase, Tableau) to track AI system performance
• Collaborate with the Data Platform teams to optimize infrastructure, ensure scalability, and manage costs effectively

Connaissances

Python

SQL

DBT

Data pipelines

AI data

GCP

Outils

Dagster

BigQuery

Kafka

DBT

Metabase

Description du poste

Doctolib seeks a Staff Data Engineer - AI to join its AI team in Paris. You will build robust data pipelines powering AI features for healthcare professionals and patients, with cross-team collaboration in an agile environment.

Responsibilities include data capture, GDPR-compliant ingestion, monitoring, and providing datasets for AI model development. Hybrid work with 2 days remote per week is offered.