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Senior Data Engineer (x/f/m)

Doctolib·Paris
Salaire non indiqué
Résumé Vox
  • Rôle principal: Construire et maintenir des pipelines de données, développer des data marts, créer des tableaux de bord, collaborer avec les parties prenantes pour répondre à leurs besoins.
  • Exigences clés: Au moins 7+ ans d'expérience en tant que Data Engineer, maîtrise de Python, SQL, DBT, expérience avec GCP, BI (Tableau, Metabase), compréhension des aspects fonctionnels des données.
  • Conditions et avantages: Poste en CDI, travail hybride (jusqu'à 2 jours à distance), salaire non précisé, nombreux avantages dont assurance santé, congés payés, tickets restaurant, soutien parental, support mobilité internationale.
Postuler à la sourceVous quittez VoxJobs pour job-boards.greenhouse.io — la candidature se fait directement chez l'entreprise. greenhouse

Description du poste

Your Impact We are looking for a Senior Data Engineer into our engineering team at Doctolib. Your mission will be to build data products that provide insights and support decision-making across Doctolib, helping to transform access to healthcare. You will work in a feature team developing data pipelines and solutions that empower our organization with data-driven insights while supporting our AI strategy, enabling health professionals to deliver better care and helping millions of patients access quality healthcare. Working in the tech team at Doctolib means building innovative products and features to improve the daily lives of care teams and patients. What you'll do Your responsibilities include but are not limited to: • Build and maintain data pipelines using Python (Dagster) to support Doctolib's AI strategy • Develop and maintain data marts in BigQuery using SQL/Jinja, DBT • Create dashboards for high-level reporting using Tableau • Collaborate with stakeholders to understand their data needs and define specifications • Ensure data quality, security (GDPR compliance), and availability through monitoring and optimization 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'll be a great fit if you: • You have at least 7+ years of experience as a Data Engineer, or a similar role • You have a first experience using code assistant (Claude, Cursor) • You are proficient in Python, SQL, and DBT for building data pipelines • You have experience with BI tools such as Tableau, Metabase, or similar platforms • You have first experience with Google Cloud Platform (GCP) stack • You have a good understanding of functional aspects of data (Sales, Finance, Web Analytics, Product) • You have strong communication skills and can collaborate effectively with business teams • You are fluent in English It would be fantastic if you: • Have experience with AI products • Have experience with Vertex AI • Are familiar with GDPR regulations Life at Doctolib Tech • Our solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to country and healthcare specialty requirements. • 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. Want to learn more about our tech culture and environment? Visit the Doctolib Tech site. What we offer • Free comprehensive health insurance (basic package) for you and your children • 25 days of paid vacation per year, plus up to 14 days of RTT • Free mental health and coaching services through our partner Moka.care • Work from abroad for up to 10 days per year thanks to our flexibility days policy • Lunch vouchers (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib • A subsidy from the work council to refund part of the membership to a sport club or a creative class • 50% reimbursement of your public transport subscription • Parent Care Program: receive one additional month of leave on top of the legal parental leave • Enrollment in Doctolib's long-term employee value sharing plan called DoctoGrowth • For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support • Relocation support in case of international mobility • Access to the best AI tools for coding, development and dedicated training Our interview process • Recruiter Interview • Coding Interview • System Design • Behavioral interview & Meeting with the team at the office • At least one reference check We want your experience to be clear, respectful, and transparent. Learn more about our hiring process on our candidate experience page. Job details • Permanent position • Tech stack: Python, SQL, DBT, BigQuery, Tableau, Dagster • Full-time • Paris • Hybrid work setup (up to 2 remote days per week) • Start date: as soon as possible We welcome everyone 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, or 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! Your data privacy All information provided is processed by Doctolib for application management. For data processing details, click here: Germany l France l Italy l Netherlands. Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.

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Source originale
greenhouse
Publiée
26 nov. 2025 · date réelle
Dernière vérification
il y a 23 heures
Score de qualité
60/100
Salaire indiqué0
Entreprise identifiée25
applyUrl0
postedAt15
Description complète20

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