Emplois actuels liés à Staff Data Platform Engineer - Lyon - Qonto
-
Remote Data Engineer – Azure Data Platform
il y a 4 jours
Lyon, France Experis France Temps pleinUne société de services en ingénierie recherche un Data Engineer pour renforcer son équipe. Vous participerez à la création d'une Data Plateforme et serez responsable de divers développements techniques. Une solide expertise en Azure, ainsi que dans les outils de données tels que Power BI et Spark, est essentielle. Ce poste offre de nombreux...
-
Data Engineer SQL
il y a 4 jours
Lyon, France Bayer Temps plein**Data Engineer SQL (f/m/d)** **Data Engineer (M/F/d)** Become part of our team of highly motivated data experts to solve major challenges in modern crop protection by molecular and chemical genetics approaches. In this role you will be involved in defining our data management processes and drive data integration and provisioning. Join us at Bayer to work on...
-
Lead Analytics Engineer — Data Platforms
il y a 1 semaine
Lyon, France M13h Temps pleinUne entreprise de conseil en data recherche un Analytics Engineer à Lyon. Vous serez responsable de la création de datasets pertinents et collaborerez avec des équipes variées sur des projets innovants. En tant qu’expert, vous guiderez vos collègues et optimiserez les flux de données. Une expérience de 5 ans en data engineering est requise, ainsi...
-
Data Engineer H/F
il y a 3 heures
Lyon, France Klanik Temps pleinÀ propos KLANIK est une société de conseil en Ingénierie IT qui accompagne ses clients dans leurs projets digitaux et technologiques. Le groupe KLANIK compte désormais plus de 750 talents, évoluant dans 16 agences en Europe, Amérique du Nord, Afrique et Moyen-Orient. Des experts engagés, atypiques et passionnés, impliqués dans des projets...
-
Senior Databricks Data Engineer
il y a 7 jours
Lyon, France Devoteam Data Driven Temps pleinUne entreprise innovante en technologie recherchte un Data Engineer à Lyon pour concevoir des pipelines de données sur Databricks et participer à des projets dynamiques. Vous serez chargé de recueillir des besoins, assurer la qualité des données et contribuer à l'amélioration continue dans un environnement Agile. Les compétences requises incluent...
-
Data Engineer
il y a 5 jours
Lyon, Auvergne-Rhône-Alpes, France Lyonbiopôle Auvergne-Rhône-Alpes Temps pleinLe posteData EngineerEn tant que membre de l'équipe Data Science, vous jouerez un rôle clé dans la conception, l'optimisation et la maintenance de nos plateformes de données cloud, un atout essentiel soutenant la recherche, les études cliniques et la modélisation prédictive. Vous veillerez à la robustesse, aux performances et à la sécurité des...
-
Data Engineer Cloud- Gcp Confirmé
il y a 4 jours
Lyon, France VISEO Temps pleinRejoignez VISEO et découvrez un monde de possibilités où nous mettons l'Humain, le Collectif et le Challenge au cœur de tout ce que nous faisons. **Qui êtes-vous ?** Si pour vous être Data Engineur Cloud confirmé c’est: - Avoir de l’expérience dans la mise en place des Modern Data Platform dans GCP - Maitriser les services Data suivants :...
-
Data Engineer
il y a 2 semaines
Lyon, France Kéoni Consulting Temps plein**Data Engineer** **Contexte de la mission**: LA DSI du client final a mis en place une Data Plateforme pour faciliter la mise en œuvre des projets Data. Elle souhaite aujourd’hui mettre en place en son sein une équipe d’experts compétents pour développer les projets Data et la piloter directement. **MISSIONS**: - Participation aux ateliers de...
-
Data Engineer
il y a 2 semaines
Lyon, France Hardis Group Temps pleinHardis Group développe son positionnement sur le domaine de la DATA depuis plusieurs années, au travers d’une practice nationale, avec des expertises sur l’ensemble de la chaine de valeur de la donnée. Nous avons à cœur de progresser chaque jour en challengeant nos talents avec des missions variées mais également en faisant grandir nos équipes...
-
Data Engineer H/F
il y a 1 semaine
Lyon, France Birdz Temps pleinEn tant que Data Engineer, rattaché à la Direction Scientifique, vous serez responsable de la conception, du développement et de la maintenance de solutions data au service des différents métiers de l'entreprise. L'équipe est constituée de 3 Développeurs/Analystes/DataScientist et d'experts métier. Vous devrez développer des traitements robustes,...
Staff Data Platform Engineer
Il y a 37 minutes
Our mission ? Creating the freedom for SMEs to succeed in business and beyond, by delivering Europe’s leading finance workspace. We combine business-class tools (seamless invoicing, spend management, and pre-accounting) with unwaveringly attentive 24/7 support, designed to help businesses breeze through all things finance. Our journey: Founded by Alexandre and Steve in July 2017, Qonto has rapidly gained trust, serving over 600,000 customers. Thanks to our wonderful team of 1,600+ Qontoers, we also made it to the LinkedIn Top Companies French ranking Our values: Customer focus | Prioritize customers in everything you do Ownership | Own your part, get things done Teamwork | Make (team)work easy Mastery | Continuously raise the bar Integrity | Always do what’s right, and respect people Our beliefs: At Qonto, we're committed to fostering a welcoming environment where everyone can thrive. We prioritize evaluating applicants based solely on skills and potential, ensuring diversity with 55% international team members, 44% women, and 20% parents. Join us in building a workplace that celebrates diversity and individuality. Mission As a Staff Data Engineer, your mission is to architect and implement scalable data platform tools that support AI product development, enabling our teams to deploy and operate AI models effectively. You will act as the technical bridge between AI Product teams and Platform Engineering, playing a central role in Qonto’s strategy to integrate AI across business areas and improve customer experience for our 400,000+ clients. This position is open to full remote contract. What you will do Bridge & Translate: Act as the technical bridge between ML product teams and platform engineering, translating ML requirements into scalable platform features. Design Architecture: Lead the design of cross-functional data architecture, ensuring consistency, scalability, and reliability across reporting, analytics, and ML use cases. Establish Standards: Partner with engineering leadership to establish platform standards, governance frameworks, and best practices. Optimize Infrastructure: Manage and maintain the data platform (Snowflake, orchestration) with a focus on reliability, performance, and cost. Drive Quality: Ensure platform documentation is up-to‑date and establish robust data quality KPIs and monitoring within your first 9 months. What you can expect Strategic Context: You will join a rapidly growing environment where AI is becoming increasingly strategic, requiring robust infrastructure in a regulated financial context. Methodologies: We balance short‑term delivery for AI product teams with long‑term platform evolution, designing tools almost from scratch. Team: You will work in a team of experienced Senior and Staff engineers with high autonomy, influencing a tech organization of 500+ engineers. Tools: We work with Python, Java, Kubernetes, Snowflake, and modern ML platform tools (e.g., MLflow, Kubeflow, SageMaker). Impact: You will directly contribute to raising the overall AI maturity of Qonto, enabling us to serve our customers better through intelligent automation. About your future manager Your Future Manager will be Charles, Lead of the Data Platform team. Charles is transitioning from an Individual Contributor role into a leadership position, after building strong expertise in data platform topics and architecture. What does he bring to the team? Charles has a hands‑on, “architect‑embedded” leadership style: he stays close to the technical reality, helps unblock complex topics, and supports the team in making pragmatic architectural decisions. He values humility, collaboration, and clear communication, and fosters an environment where autonomy is encouraged and supported through impactful projects. About You Experience: 8+ years of experience in data engineering with demonstrated progression toward architectural roles, including deep expertise in designing and scaling data platforms. ML Lifecycle Mastery: Strong understanding of the full ML lifecycle: experimentation, training, deployment, monitoring, and retraining, with experience using modern ML platforms and tools (MLflow, Kubeflow, SageMaker, TensorBoard, or similar). Architectural Thinking: Proven ability to bridge technical and product perspectives, translating business needs into technical solutions, with a track record of making complex trade‑offs and driving technical consensus. Technical Leadership: Track record of influencing technical direction and mentoring engineering teams, with excellent communication skills to articulate technical vision to diverse stakeholders. Regulated Environment: Experience working in regulated environments (financial services preferred) is a plus, with a strong mindset for governance and compliance. At Qonto we understand that true diversity isn't just about ticking boxes on a hiring checklist. Apply regardless of the boxes you tick Who knows? You may have the missing piece of the puzzle we've been searching for all along. Perks Offices in Paris, Berlin, Milan, Barcelona, and Belgrade; Competitive salary package; Meal vouchers; Public transportation reimbursement (part or global); A great health insurance (depending on the country); Employee well‑being initiatives: access to Moka Care to take care of your mental health and great offers for sports and wellness activities; A progressive disability and parenthood policy (1 in 6 of Qonto employees is a parent) and childcare benefits with selected partners; Monthly team events. Our hiring process Interviews with your Talent Acquisition Manager and future managers\>A remote or live exercise to demonstrate your skills and give you a taste of what working at Qonto could be like On average, our process lasts 20 working days and offers usually follow within 48 hours. To learn more about us: Qonto's Blog | Les Échos I L'Usine Digitale | Courrier Cadres To know how your personal data will be processed during your application process or to request its deletion, please click here. #J-18808-Ljbffr
