Senior AI Data Engineer (x/f/m)

Doctolib; Paris; Hybride; EUR 75 000 - 95 000; Plein temps

Résumé du poste

A leading healthcare technology company is seeking a Senior Data Engineer AI to enhance its AI systems by building robust data pipelines and ensuring data quality and compliance. The role emphasizes collaboration within agile teams to deliver innovative healthcare solutions. Candidates should have significant experience in data engineering, be proficient in Python and SQL, and possess strong collaborative skills. The position offers a hybrid working model in Paris, with various employee benefits including health insurance and flexible work options.

Prestations

Free comprehensive health insurance

Parent Care Program

Free mental health services

Flexible work days in EU countries

Sport club or creative class subsidy

Up to 14 days of RTT

Lunch voucher with Swile card

Qualifications

• Minimum 7 years of experience in analytics/data engineering.
• Proficient in Python, SQL, and DBT for data pipeline development.
• Experience with building data pipelines for AI/ML systems.

Responsabilités

• Design and implement data capture and ingestion systems.
• Build, optimize and maintain end-to-end data pipelines.
• Collaborate with Data Platform teams to optimize infrastructure.

Connaissances

Python

SQL

DBT

Collaboration skills

Machine learning model lifecycle

Formation

7+ years experience as Data Engineer or similar role

Outils

Google Cloud Platform (GCP)

BigQuery

Dagster

Kafka

Description du poste

We are looking for aSenior Data Engineer AI to join the AI team at Doctolib.

As a Senior 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.

Responsibilities

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 an Analytics Engineer, Data Engineer, or a similar role
• 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 a 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 to 10 days per year, thanks to our flexibility days policy
• Work Council subsidy to refund part of a sport club membership or a creative class
• Up to 14 days of RTT
• Lunch voucher with Swile card

The interview process

• Recruiter Interview
• Feature Building Interview
• System Design Interview
• Behavioral Interview
• At least one reference check

Job details

• Permanent position
• Full-time
• Paris, France
• Hyrbid mode: 2 days remote per week
• Start date: as soon as possible

If you would like to find out more about tech life at Doctolib, feel free to read our latest Medium blog articles!

At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination.

The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, disability.

To ensure equal opportunities, we invite you to exclude personal information (e.g. pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process.

Join us in building the healthcare we all dream of!

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