Staff AI Data Engineer (x/f/m)

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

Avantages offerts par ce poste

Health & family perks

Parent Care Program

Mental health & coaching

Disability accommodations

EU/UK remote work

Résumé du poste

Doctolib seeks a Staff Data Engineer AI to build robust data pipelines powering AI features for healthcare professionals and patients.

You’ll design data capture, ingestion, and privacy-compliant systems, while enabling AI model development and end-to-end monitoring across a cloud-native stack.

Qualifications

• At least 7 years+ of experience as Senior or Staff Data Engineer or similar role including AI data.
• Proficient in Python, SQL, and DBT for building data pipelines.
• Hands-on experience building data pipelines for AI/ML systems in production.
• Strong understanding of ML model lifecycle (training, evaluation, deployment, monitoring).
• Experience with Google Cloud Platform (GCP) stack.
• Strong collaboration with data science and engineering teams.

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 Data Platform teams to optimize infrastructure, ensure scalability, and manage costs.

Connaissances

Python

SQL

DBT

Dagster

BigQuery

Kafka/Debezium

GCP

AI data pipelines

Data privacy & GDPR

Outils

Dagster

DBT

Kafka

Metabase

Tableau

GCS/BigQuery

Amplitude

Description du poste

We are looking for a Staff Data Engineer - AIto join the AI team at Doctolib.

As a Staff Data Engineer AI, your mission will be to build robust data pipelines - from data capture to monitoring - to power our AI systems and support our ambition to transform healthcare delivery. You will be embedded in the AI teams delivering AI-powered features to healthcare professionals and patients.

Working in the tech team at Doctolib involves building innovative products and features to improve the daily lives of care teams and patients. We work in feature teams in an agile environment, while collaborating with product, design, and business teams.

Your responsibilities include but are not limited to:

• 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

About our tech environment

• Our solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to the country and healthcare specialty requirements. To address these challenges, we are modularizing our platform run in a distributed architecture through reusable components.
• Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native.
• We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here and learn about our first AI hackathon here!
• Our data stack includes: Kafka/Debezium for data ingestion, Dagster/DBT for orchestration, GCS/BigQuery for data warehousing, and Metabase/Tableau for BI and reporting.

Who you are

Before you read on — if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply.

• You have at least 7 years+ of experience as Senior or Staff Data Engineer, or a similar role including AI data.
• You are proficient in Python, SQL, and DBT for building data pipelines
• You have hands-on experience building data pipelines for AI/ML systems in production
• You have a good understanding of ML model lifecycle (training, evaluation, deployment, monitoring)
• You have first experience with Google Cloud Platform (GCP) stack
• You have strong collaboration skills and can work effectively with data science and engineering teams

Now it would be fantastic if you:

• Have experience with Vertex AI, MLflow, or similar ML platforms
• Have experience with AI model monitoring and observability tools
• Have worked with annotation platforms and labeling workflows
• Have experience with Cursor / Claude
• Are familiar with GDPR regulations

What we offer

• Free comprehensive health insurance for you and your children
• Parent Care Program: additional leave on top of the legal parental leave
• Free mental health and coaching services through our partner Moka.care
• For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
• Work from EU countries and the UK for up