Senior Data Center Cooling Systems Engineer in France

Présentation du poste : Nous recherchons un(e) Senior Data Consultant(e) pour accompagner la transformation Data & IA de nos clients C-Level (COMEX, marketing, digital, supply-chain, opérations, customer support, IT...). Le/la consultant(e) pilote avec une large autonomie des projets complets de bout en bout, supervisé(e) par un n+1 (manager, directeur, partner), et encadre les consultants plus juniors. Missions : Piloter un ou plusieurs streams : garantir le delivery, identifier les points de blocage, proposer des solutions, assurer la gestion de projet (documentation, planning, comptes-rendus) Encadrer et donner des feedbacks constructifs aux membres juniors de l'équipe Produire de manière autonome les livrables de mission : présentations, benchmarks, études de cas, workshop decks, sections steerco Rédiger des storylines et concevoir des slides percutantes Animer les interviews et workshops clients Construire une relation de confiance avec les clients et identifier des opportunités business Contribuer au développement d'Artefact : développement d'une offre, d'une industrie, d'un chapter ou d'un partenariat école ; participation au recrutement et à la formation des nouveaux arrivants Soutenir et développer une ou plusieurs expertises internes (stratégie, data governance, data marketing...) via la construction d'offres, la formation, ou des actions marketing Profil recherché : 2 à 3 ans d'expérience professionnelle en cabinet de conseil Dou

Présentation du poste : Au sein de l’équipe Data Analytics d'Artefact, vous rejoignez un pôle clé couvrant le dashboarding, l'analytics engineering, la mesure marketing et le low-code data science. Dans un environnement à forte croissance, vous intervenez auprès de grands comptes pour transformer leurs enjeux business grâce à une collecte, un traitement et une visualisation de données performants. Ce qu’on attend de vous : En tant que profil Senior, vous garantissez l'excellence technique et la qualité de la valeur livrée sur vos projets analytiques. Vous jouez un rôle de conseiller de confiance auprès des clients, tout en mentorant des profils plus juniors et en intégrant les derniers usages d'IA Générative appliqués à l'analytics. Vos missions : Piloter la livraison de projets Analytics de bout en bout : du cadrage des cas d'usage avec les équipes métier jusqu'au déploiement de dashboards, pipelines et produits data décisionnels. Concevoir et implémenter des architectures analytiques scalables en appliquant les pratiques modernes d'Analytics Engineering (modélisation de données, tests, qualité de code). Exploiter les développements récents en GenAI pour maximiser la valeur délivrée à nos clients. Extraire des insights stratégiques et les restituer de manière claire et actionnable pour accompagner la prise de décision des parties prenantes. Agir en expert référent auprès des clients : construire une relation de confiance et apporter des recommandations sur les meilleures pra

Présentation du poste : Au sein de l'équipe Data Science d'Artefact, vous rejoignez une communauté d'experts en Data & IA intervenant auprès de grands comptes mondiaux. Dans un contexte de forte accélération autour de la GenAI et du Machine Learning, vous jouez un rôle clé dans la conception, la livraison et le passage à l'échelle de solutions IA à fort impact business. Ce qu’on attend de vous : En tant que profil Senior, vous garantissez l'excellence technique sur vos projets (robustesse, MLOps, passage en production) tout en servant de référent auprès de nos clients. Vous jouez un rôle moteur dans l'équipe en mentorant des Data Scientists plus juniors et en participant au développement d'accélérateurs internes. Vos missions : Piloter la livraison de projets IA de bout en bout : du cadrage des cas d'usage avec les équipes métier jusqu'à la mise en production de solutions ML ou GenAI mesurables. Concevoir des architectures et pipelines IA robustes et scalables en appliquant les meilleures pratiques de Software Engineering et de MLOps (tests, déploiement, maintenabilité). Servir de conseiller de confiance auprès des clients : vulgariser les approches IA de façon claire et pragmatique, évaluer la faisabilité, les risques et le ROI. Mentorer et faire monter en compétences les Data Scientists juniors à travers des retours constructifs, des revues de code et du coaching au quotidien. Contribuer au développement de l'expertise interne : créer des outils/accélérateurs réutilisab

As a Senior Product Manager for AI & Data Security at Datadog, you will define and deliver capabilities that help organizations securely adopt and scale AI across their applications and infrastructure. You’ll focus on building products that provide visibility into AI systems and data usage, assess security posture, and enable teams to manage risk across the AI lifecycle. This role sits at the intersection of security, AI, and cloud platforms, and is ideal for a PM who thrives in emerging, ambiguous problem spaces. You will work cross-functionally to shape how customers discover, understand, and secure AI-powered systems in production. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Own and drive the roadmap for AI & Data Security capabilities, including data security posture management and data loss prevention Define how customers assess and manage the security posture of AI systems, including risks related to configuration, data exposure, and policy compliance Partner with engineering and design to deliver end-to-end product capabilities, from concept through launch and iteration&

Qui sommes-nous ? Artefact est un cabinet de conseil international spécialisé en Data et Intelligence Artificielle, présent dans plus de 20 pays avec plus de 2 500 collaborateurs. Nous accompagnons nos clients dans leur transformation en combinant expertise technologique, conseil et connaissance métier, sur des enjeux allant de la stratégie Data & IA à la conception et au déploiement de solutions concrètes. Nos équipes réunissent notamment des Business Consultants, Data Analysts, Data Scientists et Data Engineers, qui interviennent auprès de grands groupes internationaux dans des secteurs variés. Notre ambition : mettre la Data et l’IA au service de problématiques business concrètes et créer un impact mesurable pour nos clients. Ton rôle Au sein de l’équipe Talent Acquisition France et sous la responsabilité de la Head of Talent Acquisition, tu pilotes en autonomie le recrutement des équipes Strat Data d’Artefact, sur des profils allant de Junior à Manager. Partenaire des équipes opérationnelles, tu les accompagnes tout au long du processus afin de garantir des recrutements de qualité et une expérience candidat exigeante : Piloter les recrutements de bout en bout Recueillir et challenger les besoins auprès des managers Définir et mettre en œuvre l’approche de recrutement adaptée à chaque besoin Piloter l’ensemble du processus : sourcing, qualification, entretiens RH, coordination des étapes d’évaluation et offre Développer une approche proactive du sourcing et constituer

Présentation du poste : Au sein de l’équipe technique d’Artefact, vous rejoignez une communauté de Software Engineers intervenant en tant qu'architectes et développeurs auprès de grands groupes mondiaux. Dans un contexte de forte accélération autour de la Data et de l’IA Generative, vous intervenez pour répondre à des problématiques stratégiques et complexes d'ingénierie logicielle. Ce qu’on attend de vous : En tant que profil Senior, vous concevez et déployez des architectures robustes (Data Platforms, Agentic Platforms), tout en encadrant les choix techniques et la qualité des livrables. Vous jouez un rôle clé dans l'épanouissement de l'équipe à travers le mentoring, les revues de code et le partage de bonnes pratiques sur des stacks modernes. Vos missions : Concevoir et déployer des architectures Data & IA complexes et scalables (ex. architectures Médaillon, solutions multi-agents LangGraph sur Kubernetes). Construire des Data Platforms robustes sur GCP, AWS, Azure ou Snowflake en appliquant les principes de l'Infrastructure as Code (IaC). Intégrer les technologies GenAI et LLM au sein de systèmes complexes (orchestration, évaluation, contrôle) et utiliser des coding agents au quotidien pour optimiser la productivité. Garantir la qualité du code, la sécurité et la performance des livrables en appliquant les meilleures pratiques de Software Engineering. Accompagner et faire monter en compétences les membres de l'équipe à travers des revues de code form

This role will join Datadog’s Data Visualization organization, a team responsible for the visualization experiences that power dashboards, notebooks, investigations, and product workflows used across the platform. The team is a highly product-oriented organization, building AI-native experiences that help customers understand, investigate, and interact with complex operational data. As a Staff Software Engineer, you will provide technical leadership in applying AI technologies to customer-facing product experiences, helping shape how users interact with Datadog through agents, conversational interfaces, and intelligent investigation workflows. You will partner across engineering and product teams to develop reliable, scalable, and trustworthy AI-powered experiences while helping establish AI engineering expertise within the broader organization. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Lead the design and delivery of AI-powered product experiences across Datadog’s visualization and investigation surfaces. Develop systems that combine deterministic product capabilities with LLM-powered experiences to deliver trustworthy and explainable customer outcomes. Drive innovation in context engineering, prompt engineering, evaluation frameworks, and AI applica

Datadog Notebooks provide customers with a collaborative surface for ad-hoc data analysis, technical documentation, incident postmortems and runbooks. The power and flexibility of Notebooks also makes it the perfect place to integrate AI tools that can augment user workflows. Our vision is that in Notebooks users can collaborate with each other and with AI agents seamlessly. We are looking for a product-oriented Senior Software Engineer to help build the AI-assisted workflows that are becoming central to how customers use Notebooks. In this role you will work closely with product and design, and own platforms for analysis workflows and context discovery. There is a real opportunity for impact here: turning Notebooks into the tool that helps customers go from uncertainty to answer, and making that knowledge retrievable and reusable across Datadog products. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do Lead the design and delivery of AI-powered product experiences for Notebooks and adjacent surfaces Develop systems that combine deterministic product capabilities with LLM-powered experiences to deliver trustworthy and explainable customer outcomes Partner closely with Product: Work hand-in-hand with the Product Manager to translate customer problems, adoption

Datadog Notebooks provide customers with a collaborative surface for ad-hoc data analysis, technical documentation, incident postmortems and runbooks. The power and flexibility of Notebooks also makes it the perfect place to integrate AI tools that can augment user workflows. Our vision is that in Notebooks users can collaborate with each other and with AI agents seamlessly. We are looking for a product-oriented Senior Software Engineer to help build the AI-assisted workflows that are becoming central to how customers use Notebooks. In this role you will work closely with product and design, and own platforms for analysis workflows and context discovery. There is a real opportunity for impact here: turning Notebooks into the tool that helps customers go from uncertainty to answer, and making that knowledge retrievable and reusable across Datadog products. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do Lead the design and delivery of AI-powered product experiences for Notebooks and adjacent surfaces Develop systems that combine deterministic product capabilities with LLM-powered experiences to deliver trustworthy and explainable customer outcomes Partner closely with Product: Work hand-in-hand with the Product Manager to translate customer problems, adoption signal

Qui sommes-nous? Artefact est une société de conseil et d'ingénierie française spécialisée en data et IA, et leader en Europe, qui depuis plus de 10 ans est spécialisée dans la conception et le déploiement de technologies d’intelligence artificielle et de solutions data-driven. Basé à Paris, nous sommes aujourd’hui présents dans 27 pays sur tous les continents et comptons 2500 collaborateurs. Notre mission est d’aider les entreprises à exploiter tout le potentiel de l’IA et de la data en développant des solutions sur-mesure adaptées à leurs enjeux métiers. En tant que pionniers dans ce domaine, nous allions expertise technologique et excellence opérationnelle, en collaborant avec les plus grands acteurs du marché. Nos clients couvrent tous les secteurs clés de l’économie – industrie, retail, luxe, grande consommation, santé, finance – et incluent des grands groupes internationaux. La performance de nos services data repose sur une réelle expertise technologique en Intelligence Artificielle et des compétences métiers acquises auprès de nos 1000+ clients dans le monde, tels que Ubisoft, Sisley, OVH, Thales, Edenred, GRDF, EMG… La force d'Artefact repose sur un mix unique d'atouts: des technologies data de pointe, des méthodes agiles permettant de délivrer très rapidement les projets et des équipes composées des meilleurs experts dans leurs domaines (consultants data, data analysts, data scientists, data engineers, et des experts du digital marketing sur tous les can

About Datadog We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale with trillions of data points per day, enabling seamless collaboration and problem-solving among Dev, Ops, and Security teams for tens of thousands of companies globally. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. The Team The Datadog Security Libraries team owns the customer-side integrations behind our run-time security products App & API Protection , Workload Protection , and Code Security . Our libraries let customers automatically manage application security risk with continuous, real-time monitoring of vulnerabilities and threats against their web applications, serverless applications, and APIs, in production. Automatically integrated with Application Performance Monitoring (APM) distributed tracing and code-level context, our software empowers development, operations, and security teams to build and run secure applications. As a polyglot team we ship and maintain the security capabilities of Datadog's tracing libraries across .NET , Java , Go , Node.js , Python , Ruby , and PHP , on top of a shared C++ core and a set of HTTP proxy integrations (primarily Envoy, NGINX, and HAProxy). Our code runs inside thousands of production applications around the world. Recent work spans exploit prevention (RASP) and WAF detections, API S

Please note that the job is only available from the locations outlined. We are looking for a Senior Software Engineer to help us take REDAPL, our Referential Data Platform, to the next level. REDAPL is Datadog's main platform for tracking our customers' infrastructure resources and relationships. The platform enables products where customers can understand, keep track of, and gain insights into their infrastructure related to performance, cost, security, and more. Many Datadog products use REDAPL today such Cloud Security Posture Management, Resource Catalog, Cloud Cost Management, and Service Catalog and others - REDAPL ingests more than 4.5mil updates/second. As a Senior Engineer, you will drive, lead and collaborate on projects both inside and outside the platform. You can expect to contribute to key technical decisions relating to our data ingestion, processing, and query pipelines. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Build a query engine that supports efficient relationship traversals for our most demanding workloads. Contribute to design and drive high-priority, high-visibility projects to increase the platform's value, resilience, and scalability across multiple teams. Lead and guide other engineers through architectural pla

The Applied AI team designs and builds algorithmically driven features in the Datadog app. We work across a range of applications, primarily focusing on analysis on streaming data such as anomaly detection , error outliers and faulty deployment analysis . As an Applied Scientist you will work on building models and algorithms for machine learning powered features within the Datadog platform. You will work closely with our engineering and product partners to explore, build, scale and deliver these features that we incubate within the Applied AI team. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Design solutions for our different use cases. You will research and benchmark relevant algorithms to find the best fit for our use-cases Leverage machine learning algorithms and statistical techniques to build new scalable product features Develop, deploy and monitor new and existing features to production Participate in our journal club by reading and presenting the latest academic research papers to the team Explore, analyze and tell the story behind high volumes of data flowing through Datadog systems Maintain and monitor the models, services and infrastructure owned by your team Participate in your team’

Distributed Systems engineers at Datadog design, implement and run in production the foundational platforms powering our applications. Your data pipelines will ingest, store, analyze and query in real-time billions of events per second from companies all over the globe. The platforms are optimized for durability, high availability, low latency, internet-scale footprint and operability. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Build fault-tolerant, horizontally scalable solutions running in multi-tenant environments Write in Go, Java, Rust or C++, amongst other languages Use Kafka, Redis, Cassandra, Elasticsearch and other open-source components Own meaningful parts of our service, have an impact, grow with the company Who You Are: You have a BS/MS/PhD in a scientific field or equivalent experience You have significant backend programming experience in one or more languages (Go, Java, Rust, C++) You have been exposed to working on problems (high durability / low latency /…) You can get down to the low-level when needed You care about simple designs and performance You want to work in a fast, high-growth startup environment that respects its engineers and customers You’re excited about leveraging AI tools to

We are building the best platform in the world for engineers to understand, scale, and protect their systems, applications, and teams. We operate at high scale—trillions of data points per day—providing always-on alerting, metrics visualization, logs, application tracing, and security insights for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way . At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Solve a scaling bottleneck in a critical service Deploy a new feature to production, progressively rolling it out with feature flags Investigate and fix a production issue from a service your team owns Design a way to scale up a service for more traffic With your team, plan the most important projects to work on next Who You Are: You have significant experience in one or more languages You value code simplicity and performance You can design architecture to solve problems at high scale You have a BS/MS/PhD in a scientific field or equivalent experience You want to work in a fast, high-growth startup environment that respects its engineers and customers You’re excited about leveraging AI tools to enhance how you code, solve problems, and