The Solutions Architect (Lakewatch) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region. Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product. They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.
The Solutions Architect (Lakewatch) is paired with an Account Executive aligned to the product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that customers make an informed decision as they decide to adopt the product-line in a meaningful way.
The Lakewatch product-line requires the following core technical competencies:
5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing, pre-sales or consulting role).
Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
Deep familiarity with SIEM platforms (Splunk, Microsoft Sentinel, QRadar, or similar), including deployment, tuning, detection engineering, and migration strategies. Familiarity with SOAR platforms is also desirable.
Strong understanding of the security telemetry landscape: endpoint (EDR/XDR), network (firewall, DNS, proxy), identity (Okta, Entra ID), cloud (AWS CloudTrail, Azure Activity Log, GCP Audit), and SaaS application logs. Familiarity with standards such as OCSF.
Experience with “detection-as-code” workflows, including rule authoring in SQL or YAML, CI/CD integration for detection pipelines, and MITRE ATT&CK framework mapping.
Credibility in influencing security analytics products with the market insight needed to shape and prioritize roadmap capabilities.
The impact you will have
Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment
Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory, driving Lakewatch adoption from initial data offload through full SIEM augmentation or replacement.
As a trusted advisor, serve as an expert Solutions Architect building technical credibility with CISOs, security architects, SOC leadership, and security analysts to drive product adoption and vision.
Enable clients at scale through workshops, POC execution, and developing customer-facing collateral that increases technical knowledge and demonstrates the value of an open agentic SIEM architecture.
Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams.
Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical security environments.
Establish and refine the sales qualification and POC intake process, ensuring well-scoped engagements that maximize customer success and minimize friction for R&D.
Competencies & Responsibilities
5+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level security strategy and product adoption.
Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
Proficient in programming, debugging, and problem-solving using SQL and Python and with AI tools.
Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes in cybersecurity.
Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP), with an understanding of cloud-native security logging and monitoring.
Deep experience in security operations, with broad familiarity across one or more of the following: data engineering, data warehousing, AI/ML for security, data governance, and streaming.
Undergraduate degree (or higher) in a technical field such as Computer Science, Cybersecurity, Applied Mathematics, Engineering or similar.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedInandFacebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Are you ready to work at a fast-growing company where you can make a difference? Boomi aims to make the world a better place by connecting everyone to everything, anywhere. Our award-winning, intelligent integration and automation platform helps organizations power the future of business. At Boomi, you’ll work with world-class people and industry-leading technology. We hire trailblazers with an entrepreneurial spirit who can solve challenging problems, make a real impact, and want to be part of building something big. If this sounds like a good fit for you, check out boomi.com or visit our Boomi Careers page to learn more.
Boomi provides the foundation on which your business can evolve and innovate. According to a recent survey by Vanson Bourne, connected businesses are far outpacing their competitors. We help organizations connect everything and engage everywhere across any channel, device or platform. More than 7,000 organizations are using Boomi to run better, faster and smarter.
Working at Boomi means doing what you love. We hire trailblazers with an entrepreneurial spirit who can solve challenging problems, make a real impact in technology and want to build something big. If you are passionate about solving hard problems, enjoy working with world-class people and developing cutting edge technology, you should explore a career with Boomi. Learn more at http://www.boomi.com/ or visit Boomi Careers.
Here in Boomi Professional Services, we pride ourselves on our industry leading expertise, high quality delivery and outstanding customer experience that leads to the “right first time” fast time to value service that our customers receive. This is a key reason why customers choose Boomi and Boomi Professional Services. In this role, you will implement the Boomi platform and develop Boomi integrations and APIs for our customers. Join us to do the best work of your career and make a profound social impact as a Boomi Integration Platform Developer in our Professional Services team.
Location: Spain/UK/Germany/France/Netherlands
Key Responsibilities
As a Boomi Integration Platform Developer you will be supporting Boomi Platform implementation remotely for the clients based all over Europe, Middle East and Africa region. Travelling of up to 20% of the work time might be required.
Your core duties will include, but are not limited to:
Working closely with Project Managers from the region to design and develop integration solutions.
Evaluating customer applications to assess integration approach.
Being a product expert of Boomi applications including the AtomSphere integration platform and learning other parts of the Boomi platform.
Recommending best practices for implementing, managing, and governing integrations using the Boomi AtomSphere integration platform.
Defining and promoting the adoption of best practices of Boomi's products across the internal and external user community.
Providing support and coaching to junior team members.
Essential requirements
Multiple years of experience working with enterprise integration tools, middleware technologies, and application and data integration patterns including JMS, SOAP/REST web services, databases.
Practical experience implementing services-oriented architecture design and enabling technologies including messaging, XML, JSON, web services, and HTTP.
Advanced knowledge of common business systems (CRM, SFA, ERP) and processes (lead to cash, requisitions, order management, etc.)
General knowledge of key application infrastructure components such as VMware, storage (NAS, SAN, SMB), Java JVM, networking (firewall, load balancing, proxies).
Good communication and interpersonal skills combined with fluent knowledge of written and spoken English.
Desirable requirements
Database skills including SQL, data modelling, and databases (e.g. MS SQL Server, MySQL, Oracle).
Development scripting skills with Java, Groovy, JavaScript.
1 year plus experience using the Boomi platform would be advantageous.
Experience working in a professional services consulting business / working directly with customers.
Experience providing coaching and support to junior team members.
Additional language capabilities other than English.
What you’ll achieve
As a Consultant you will work closely with customers to understand their requirements, assist with project scoping and build innovative solutions to solve business problems. You’ll have the opportunity to learn more about the Boomi platform and grow your skills as a developer/consultant. You will be joining Boomi at an exciting time of growth and innovation.
#LI-LM1
Be Bold. Be You. Be Boomi. We take pride in our culture and core values and are committed to being a place where everyone can be their true, authentic self. Our team members are our most valuable resources, and we look for and encourage diversity in backgrounds, thoughts, life experiences, knowledge, and capabilities.
All employment decisions are based on business needs, job requirements, and individual qualifications.
Boomi strives to create an inclusive and accessible environment for candidates and employees. If you need accommodation during the application or interview process, please submit a request to talent@boomi.com. This inbox is strictly for accommodations, please do not send resumes or general inquiries.
REJOINS L'ÉQUIPE PRICE & PROMOTION RECOMMENDATION ENGINE
Au sein du domaine Customer Relationship, notre équipe développe et industrialise des solutions d'IA dédiées à la stratégie de prix de Decathlon. Nous concevons des moteurs de recommandation qui calculent le prix optimal de chaque produit en analysant l'élasticité-prix, les données de comportement d'achat des clients et les indicateurs de performance du marché.
L'objectif est d'intégrer ces modèles dans la stratégie Decathlon pour garantir une cohérence entre l'offre et les attentes des utilisateurs.
Pour cela, nous collaborons dans une organisation agile composée de Product Managers, Data Scientists, Data Engineers, Machine Learning Engineers et Data Analysts.
MACHINE LEARNING ENGINEER - ALTERNANCE
Dans le cadre de l’ouverture d’un poste en interne, nous recrutons un.e Machine Learning Engineer en contrat d’apprentissage/stage, basé.e à Paris.
Déployer les moteurs de recommandation en production est un enjeu clé pour fournir des recommandations précises, fiables et robustes. Ton rôle sera de garantir que nos modèles de prix et de promotions s'adaptent en continu aux besoins des sportifs. Tu travailleras sur l'industrialisation du cycle de vie des modèles pour assurer une expérience fluide et sans friction sur tous nos canaux (digital et magasins) via les bonnes pratiques MLOps.
Cela inclut différentes problématiques telles que le monitoring de la qualité et de l’évolution des données (data drift), la surveillance des performances du modèle, l’orchestration des prédictions, la stratégie de ré-entraînement du modèle… Une bonne maîtrise de ces sujets est essentielle pour pérenniser la valeur créée par le modèle.
TES MISSIONS
Parfaitement intégré(e) à l'équipe en place, ton rôle sera de participer à chaque étape des projets, du cadrage à la solution finale, et de découvrir les bonnes pratiques de développement. Tu contribueras à la mise à l'échelle des solutions data et d'apprentissage automatique d'un POC à un produit entièrement déployé.
Tu commenceras par une période de formation avant de travailler sur les projets de l’équipe sous la responsabilité d'un référent Data expérimenté.
Tu contribueras aux projets existants comme tous les membres de l’équipe.
Tu effectueras une revue de l'état de l'art scientifique sur le domaine (ex. orchestration d’agents IA).
Tu testeras ces nouvelles méthodes sur un cas d'usage réel étudié en ce moment dans notre équipe en appliquant les meilleurs standards Data.
Tu implémenteras ces nouvelles fonctionnalités dans nos pipelines et mettre en production ton modèle en utilisant des principes d'ingénierie de qualité.
Tu communiqueras efficacement l'analyse et les résultats par le biais de visualisations, de documents et de présentations aux parties prenantes techniques et business.
Tu auras l’opportunité de :
Mettre à contribution tes compétences acquises lors de ta formation pour t'adapter rapidement à la stack technique Decathlon : Python - Git - SQL - Spark - Visualisation.
Développer et documenter tes modèles et analyses (data sourcing, hypothèses et méthodes) dans une logique Agile en respectant les standards appliqués au sein des équipes Decathlon.
Expliquer l’utilisation de la data et sa valeur ajoutée.
TON ENVIRONNEMENT TECHNIQUE
Data & ML : Python, Scikit-Learn, Pytorch, Pyspark, SQL
Une première expérience significative (projets universitaire, stage ou alternance) dans un environnement technique similaire.
Une appétence forte pour le travail en équipe et une culture du partage.
Un intérêt pour l’impact du sport sur le développement personnel et collectif.
L’envie de rejoindre une entreprise engagée dans le Tech4Good et l’innovation responsable.
POURQUOI NOUS REJOINDRE ?
Chez Decathlon, nous mettons un point d’honneur à offrir un cadre de travail épanouissant et motivant.
🚀 Un environnement de travail stimulant : entreprise certifiée Great Place to Work et Happy Trainees. 💰 Des avantages attractifs(après 3 mois d’ancienneté) :
Primes mensuelles, intéressement, actionnariat
Avantages CSE
25% de réduction sur nos produits
Prise en charge de ta CVEC
Remboursement de 50% du titre de transport & aide à la mobilité urbaine 🎯 Un accompagnement sur mesure : coaching, formations internes et externes, partage de connaissances. ⚡ Une culture du sport et du test produit : deviens ambassadeur.trice de nos innovations et rejoins nos équipes sportives internes !
FAQ – TOUTES TES QUESTIONS
Comment préparer ma candidature et comment se déroule le processus de recrutement ?
1️⃣ Lis bien l’offre et mets en avant tes expériences et compétences les plus pertinentes. 2️⃣ Personnalise ton CV pour te démarquer. 3️⃣ Après candidature, tu recevras une réponse sous quatre semaines. Si tu es sélectionné.e, tu passeras au moins deux entretiens avec ton futur leader et un.e référent.e métier.
Je ne connais pas le secteur du sport, ai-je ma place chez Decathlon ?
Bien sûr ! Nous recherchons avant tout des personnes passionnées et motivées, que ce soit dans leur domaine d’expertise ou par le sport en général.
Être étudiant chez Decathlon, c’est quoi ?
C’est bien plus qu’une simple alternance ou un stage ! C’est façonner ton avenir professionnel en contribuant à des projets concrets qui ont du sens pour toi, tout en étant accompagné et soutenu à chaque étape.
🎯 Notre ambition ? T’offrir une expérience enrichissante pour te préparer à ton futur métier et, pourquoi pas, t’accueillir en CDI à l’issue de ton alternance. D’ailleurs, plus de 50% de nos étudiants rejoignent définitivement l’aventure Decathlon ! 🚀
DECATHLON DIGITAL
Imaginez si la technologie nous permettait de repousser les frontières et d'offrir des expériences sportives inédites. C'est précisément notre ambition chez Decathlon Digital ! Nous sommes une équipe de plus de 5 000 experts en ingénierie logicielle, gestion de produits, données, cloud et cybersécurité, répartis à Paris, Lille et Amsterdam. Ensemble, nous créons la plus vaste plateforme sportive numérique, en exploitant les innovations technologiques pour optimiser la chaîne de valeur, concevoir des expériences connectées et donner une seconde vie à nos produits.
Changeons la donne pour de bon. Notre passion du sport nous guide et nous voulons qu’elle perdure. C’est pourquoi nous nous engageons à bâtir un modèle technologique plus durable, en réduisant notre impact direct sur l'environnement, et en créant un espace sûr et inclusif pour apprendre et nous épanouir ensemble. Rejoins l’équipe et façonnons le futur du sport.
MongoDB's Application Modernization Platform (AMP) team aims to grow the adoption of MongoDB by accelerating the rate at which legacy applications built on RDBMS can be modernized to MongoDB. The AMP team uses a combination of proprietary GenAI and deterministic tools combined with modernization techniques (methodologies) developed over numerous customer engagements to modernize legacy applications to MongoDB. This involves modernizing both the application tier by decomposing the legacy application into services and building modern services on MongoDB. Our modernization methodologies involve apply specialized tools that automate a wide variety of modernization tasks including analyzing legacy code bases to figure out how to disaggregate them, transforming legacy code (PL/SQL, T-SQL, Java, C#) to modern application frameworks on MongoDB, automated test generation, and side-by-side testing (legacy vs. modern).
We are looking for a Solutions Architect to support the sales and delivery of modernization engagements. Candidates must be located in North America near an airport that will enable them to easily visit customer sites in North America or Europe.
This role will be based remotely in France.
Roles Responsibilities
Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software
Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
Experience with modern software development processes and application architectures including (not an exhaustive list): agile development, domain driven design, microservice architectures, test-driven development, event-driven architectures, operational data layers, test automation, etc.
Experience designing with scalable and highly available distributed systems in the cloud and on-prem
Facilitate technical workshops and discovery sessions with customer architects, developers, and business leaders
Experience installing and delivering complex demonstrations consisting of multiple applications deployed on Docker and Github Codespaces
Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
The ability to travel up to 25%
A Bachelor’s degree or equivalent work experience
You may also have:
Experience selling databases and/or deploying applications with any of the major cloud providers
Experience with database programming and data models
Experience in data engineering or AI/ML projects
Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
A MongoDB Certification
A Cloud Provider Certification
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB's Application Modernization Platform (AMP) team aims to grow the adoption of MongoDB by accelerating the rate at which legacy applications built on RDBMS can be modernized to MongoDB. The AMP team uses a combination of proprietary GenAI and deterministic tools combined with modernization techniques (methodologies) developed over numerous customer engagements to modernize legacy applications to MongoDB. This involves modernizing both the application tier by decomposing the legacy application into services and building modern services on MongoDB. Our modernization methodologies involve apply specialized tools that automate a wide variety of modernization tasks including analyzing legacy code bases to figure out how to disaggregate them, transforming legacy code (PL/SQL, T-SQL, Java, C#) to modern application frameworks on MongoDB, automated test generation, and side-by-side testing (legacy vs. modern).
We are looking for a Solutions Architect to support the sales and delivery of modernization engagements. Candidates must be located in North America near an airport that will enable them to easily visit customer sites in North America or Europe.
This role will be based remotely in the UK.
Roles Responsibilities
Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software
Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
Experience with modern software development processes and application architectures including (not an exhaustive list): agile development, domain driven design, microservice architectures, test-driven development, event-driven architectures, operational data layers, test automation, etc.
Experience designing with scalable and highly available distributed systems in the cloud and on-prem
Facilitate technical workshops and discovery sessions with customer architects, developers, and business leaders
Experience installing and delivering complex demonstrations consisting of multiple applications deployed on Docker and Github Codespaces
Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
The ability to travel up to 25%
A Bachelor’s degree or equivalent work experience
You may also have:
Experience selling databases and/or deploying applications with any of the major cloud providers
Experience with database programming and data models
Experience in data engineering or AI/ML projects
Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
A MongoDB Certification
A Cloud Provider Certification
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB's Application Modernization Platform (AMP) team aims to grow the adoption of MongoDB by accelerating the rate at which legacy applications built on RDBMS can be modernized to MongoDB. The AMP team uses a combination of proprietary GenAI and deterministic tools combined with modernization techniques (methodologies) developed over numerous customer engagements to modernize legacy applications to MongoDB. This involves modernizing both the application tier by decomposing the legacy application into services and building modern services on MongoDB. Our modernization methodologies involve apply specialized tools that automate a wide variety of modernization tasks including analyzing legacy code bases to figure out how to disaggregate them, transforming legacy code (PL/SQL, T-SQL, Java, C#) to modern application frameworks on MongoDB, automated test generation, and side-by-side testing (legacy vs. modern).
We are looking for a Solutions Architect to support the sales and delivery of modernization engagements. Candidates must be located in North America near an airport that will enable them to easily visit customer sites in North America or Europe.
This role will be based remotely in Ireland.
Roles Responsibilities
Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software
Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
Experience with modern software development processes and application architectures including (not an exhaustive list): agile development, domain driven design, microservice architectures, test-driven development, event-driven architectures, operational data layers, test automation, etc.
Experience designing with scalable and highly available distributed systems in the cloud and on-prem
Facilitate technical workshops and discovery sessions with customer architects, developers, and business leaders
Experience installing and delivering complex demonstrations consisting of multiple applications deployed on Docker and Github Codespaces
Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
The ability to travel up to 25%
A Bachelor’s degree or equivalent work experience
You may also have:
Experience selling databases and/or deploying applications with any of the major cloud providers
Experience with database programming and data models
Experience in data engineering or AI/ML projects
Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
A MongoDB Certification
A Cloud Provider Certification
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
Créée en 2000, Ivalua est un leader mondial dans l’édition de solutions cloud de gestion des achats.
NOTRE ENTREPRISE
Chez Ivalua, nous sommes une communauté mondiale d'experts convaincus que la transformation numérique rend les chaînes d'approvisionnement plus durables et résilientes, tout en améliorant la collaboration avec les fournisseurs.
Et nous y parvenons grâce à notre plateforme cloud de gestion des dépenses, qui permet à des centaines de grandes marques de gérer leurs dépenses et leurs fournisseurs tout en optimisant leur rentabilité, leur performance ESG (Environnement, Sociale et Gouvernance), de réduire les risques et d’améliorer leur productivité.
Animés par nos passions et nourris par nos ambitions communes, nous nous donnons les moyens de relever les défis et de créer des expériences impactantes pour nos clients et notre écosystème partenaire, tout en donnant du sens à nos équipes.
Notre département R&D est chargé de conduire l'innovation de notre Plateforme SaaS. Il est composé de plusieurs équipes agiles (Scrum/Kanban) en charge de développer différents modules et solutions de notre plateforme. Nous sommes à un moment charnière puisque nous modernisons notre architecture (React/Typescript) et nous intégrons des capacités d'Agentic AI dans notre plateforme.
RÔLE: Dans ce contexte nous sommes a la recherche d’un(e) Alternant(e) Software Engineer Fullstack C#, .NET, SQL Server, React.js. Vous rejoindrez l’équipe Catalog organisée en scrum et participez à la conception et au développement de notre solution Web, basée sur C#, .NET, SQL Server, React.js.
Date de démarrage souhaitée: Septembre 2026
Niveau d'études: Bachelor/M1 - 1ère ou 2ème de année cycle ingénieur
Rythme d’alternance: Semaines entières
CE QUE VOUS FEREZ CHEZ NOUS
Travailler sur les nouvelles fonctionnalités, les évolutions et la maintenance relatives à un module dédié de notre solution,
Participer à l'intégration de workflows Agentic, en utilisant les dernières technologies Gen AI (LLM, RAG, Machine Learning).
Participer á la conception technique et au développement afin de faire évoluer les modules de notre solution Ivalua, en utilisant notamment des outils comme Claude Code pour générer votre code,
Travailler étroitement avec l’équipe de “Customer Support” dans le cadre des montées de versions et de les configurations du module,
Dans le cadre de la méthodologie Agile, vous êtes un membre proactif de l'équipe,
Corriger des bugs sur les innovations,
VOTRE PROFIL
Si vous avez l'expérience et les compétences ci-dessous, ce rôle pourrait être pour vous.
Compétences et expériences :
Vous préparez un diplôme Bac + 5 en Ingénierie Logicielle, Développement applicatifs ou autre spécialité dans le développement informatique
Vous avez une première expérience en stage ou projet d’études dans le développement d'applications de gestion d’entreprise, et excellente maîtrise d'un langage orienté objet (C# est un gros plus).
Vous avez déjà réalisé des développements web et maîtrisez des frameworks front comme React, Angular ou Vue et Javascript,
Vous avez d’excellentes connaissances sur les technologies Gen AI (LLM, RAG, Token, window context) et vous savez les utiliser dans vos développements (Copilot, Claude Code).
Idéalement vous avez de solides connaissances en C # ASP.NET CORE, SQL Server,
Vous avez une sensibilité UX utilisateur et une bonne compréhension du fonctionnel
Qualités Recherchées:
Votre capacité à assimiler des problématiques fonctionnelles et techniques complexes
Vous êtes persévérant et proactif. Votre curiosité naturelle sera un atout majeur pour réussir chez Ivalua
Vous communiquez facilement avec l'ensemble des équipes Ivalua et vous vous adaptez au contexte multiculturel de l'entreprise,
Vous êtes à l'aise en anglais à l'écrit et à l'oral.
CE QUI VOUS ATTEND ENSUITE
Si votre candidature correspond aux compétences souhaitées pour ce rôle, notre équipe de recrutement vous contactera pour planifier un premier échange téléphonique. Faites un pas de plus vers la réalisation de vos objectifs - postulez dès aujourd'hui !
Un recruteur dédié vous guidera à chaque étape du processus de recrutement. Nous sommes là pour vous accompagner!
Notre processus de recrutement est conçu pour évaluer vos compétences à travers une série d'entretiens personnalisés avec nos équipes. Les entretiens se dérouleront virtuellement et en personne dans nos locaux.
CE QUE VOUS TROUVEREZ CHEZ IVALUA
Un modèle “Hybride” (3 jours sur site, 2 jours en télétravail),
Nous sommes une équipe animée par l’envie de repousser les limites de l'innovation produit et technologique,
Société privée en constante croissance,
Une entreprise stable et rentable,
Chaque semaine, la possibilité de se retrouver tous ensemble autour d’un repas proposé par l’entreprise,
S’épanouir en poursuivant ses objectifs à travers un puissant état d’esprit d’équipe, propice à la créativité et productivité,
Révéler votre potentiel professionnel grâce à notre programme de formation et de développement de carrière,
Rallier une équipe dynamique et internationale composée d’experts dans leurs domaines, et collaborer avec des personnes passionnées par leur travail et guidées par une même vision,
Faites l'expérience d'un environnement de travail inclusif ouvert á la diversité, où votre contribution sera appréciée et valorisée,
Prenez part aux nombreux événements organisés dans le cadre de l’entreprise ( compétitions sportives, événements musicaux et team building),
Plébiscitée par ses collaborateurs, Ivalua a été nommée par la société Comparably (https://www.comparably.com/companies/ivalua) :
Portés par nos différences - Votre énergie est notre force !
Unis par nos valeurs, nous célébrons la diversité et l’équité dans toute leur étendue pour construire un environnement de travail inclusif. Pour aider nos clients à rendre leurs chaînes d’approvisionnement plus efficaces, durables et résilientes, nous comptons sur nos équipes internationales aux parcours, compétences et perspectives divers et variés. Nous croyons en l’égalité des opportunités et en la diversité comme moteurs d’innovation, favorisant un esprit d’inclusivité, un environnement de travail productif et agréable, et en offrant des perspectives de carrière épanouissantes pour tous les Ivaluans.
Explorez la culture Ivalua - visionnez cette vidéo pour en savoir plus !
Our Data Pricing TEAM is looking for a Analytics Engineer/Data Analyst (f/m/d) on an apprenticeship basis, located in Paris/Lille starting September 2026.
OUR TEAM
Within an agile team of 5 to 6 analytics professionals (Business Intelligence, Data Analysts, Analytics Engineers) based in Lille and Paris, we drive Decathlon's global pricing strategy. Our challenge? Steering performance during peak commercial seasons ("In-Season") and turning data into growth opportunities. You will have a direct impact on our global pricing relevance and the satisfaction of our sport users.
YOUR FUTURE CONTRIBUTION
Under the guidance of your mentor, you will bridge the gap between raw data and business decisions:
End-to-End Data Delivery: Work across the entire data lifecycle, from data extraction to the creation of decision-support dashboards.
Ad-hoc Analysis: Explore and analyze data to answer complex business questions (price elasticity, margin analysis, promotional impact).
Data Engineering: Design and maintain robust data pipelines using dbt to feed our pricing use cases and automate reporting.
In-Season Monitoring & Strategic Insights: Help set up real-time performance indicators to adjust the commercial strategy.
Data Culture: Simplify and present your findings, while challenging business needs to provide true strategic value.
WHAT YOU BRING
Education: Pursuing a Master's degree in Data, Engineering, or a related field.
Soft Skills: Proactive, team player, and a strong "growth mindset." You are eager to learn and innovate.
Hybrid Skills: You enjoy both technical modeling (SQL/code) and business storytelling.
Critical Thinking: You don't just deliver numbers; you analyze them with business acumen and are comfortable challenging the status quo.
Experience: A previous internship or project in the Data field is a plus
TECHNICAL STACK
Must-have: Strong command of SQL.
Nice-to-have:dbt, Python, Databricks, Git, Airflow, and Tableau.
WHAT WE OFFER
Working equipment provided (Mac or Windows).
Local project team within a global network (international career opportunities).
At Decathlon, we recognize the immense value that diversity brings to our teams, and we continuously strive to foster and cultivate an inclusive and equitable workplace: this is why Inclusion is one of our Human Fundamentals. We encourage people from all backgrounds and abilities to apply, as we are convinced that diversity of thought, culture, identity, and lived experience makes us strong.
Decathlon is also committed to providing an inclusive and accessible selection process for all candidates. If you need any adjustments, you can request them via the application form, and this information will remain confidential. These requests do not affect the outcome of the recruitment process.
DECATHLON DIGITAL CONTEXT
What if technology allowed us to push the boundaries and take sports experiences to new levels? That's exactly our goal at Decathlon Digital! We are a team of 5,000+ experts in software engineering, product management, data, cloud, and cybersecurity, distributed across Paris, Lille, and Amsterdam. Together, we are creating the largest digital sports platform, leveraging tech innovation from design to value chain optimization, connected experiences and product second life.
Changing the game for good. We are in this for the love of sports. And like everything we love, we want it to last. That’s why we are embarking on a journey to create a more sustainable tech model, reducing our direct environmental impact while maintaining a safe, diverse, and inclusive space for all our people to learn and thrive together. Team up with us to design the digital future of sports.
Notre équipe Data Pricing recherche un·e Analytics Engineer/Data Analyst (f/m/d) en alternance, basé·e à Paris/Lille pour un début en septembre 2026.
NOTRE ÉQUIPE
Au sein d'une équipe agile de 5 à 6 expert·es (Analytics Engineers, Business Intelligence, Data Analysts) répartie entre Lille et Paris, nous sommes le moteur de la stratégie de prix de Decathlon. Notre défi ? Piloter la performance durant les moments clés de la saison de commercialisation ("In-Season") et transformer nos données en leviers de croissance. Ton impact sera direct sur la pertinence de nos prix mondiaux et la satisfaction de nos sportif·ves.
TA FUTURE CONTRIBUTION
Sous la responsabilité de ton tuteur ou ta tutrice, tu seras au cœur de l'aide à la décision pour nos interlocuteurs business :
Full Stack Data Delivery : Tu interviens sur toute la chaîne, de l'extraction des données à la création de dashboards d'aide à la décision.
Analyses Ad-Hoc : Explorer et analyser les données pour répondre aux problématiques business complexes (élasticité prix, analyse de marge, impact promotionnel).
Ingénierie de données : Concevoir et maintenir des pipelines de datasets robustes via dbt pour alimenter nos cas d'usage pricing et automatiser le reporting.
Pilotage In-Season & Analyses Stratégiques : Contribuer à la mise en place d'indicateurs de performance en temps réel pour ajuster la stratégie commerciale.
Culture Data : Vulgariser tes analyses et challenger les besoins business pour apporter une réelle valeur ajoutée stratégique.
CE QUE TU APPORTES
Formation : Tu prépares un diplôme supérieur en Data (Master, École d'ingénieur ou équivalent).
Soft Skills : Tu fais preuve de proactivité et d'un excellent esprit d'équipe. Ton "growth mindset" te pousse à apprendre chaque jour.
Expertise Hybride : Tu aimes autant "mettre les mains dans le moteur" (SQL/code) que raconter une histoire avec les chiffres.
Esprit Critique : Tu ne te contentes pas de sortir des chiffres, tu les analyses avec un œil business affûté et n'hésites pas à challenger l'existant.
Expérience : Une première expérience (stage ou projet) en Data est un atout.
STACK TECHNIQUE
Indispensable : Maîtrise avancée de SQL.
Les plus :dbt, Python, Databricks, Git, Airflow, and Tableau.
CE QUE NOUS T’OFFRONS
Matériel fourni en accord avec tes missions et nos engagements sociétaux (Mac ou Windows).
Une équipe de projet locale au sein d'un réseau mondial (possibilité de carrière internationale).
Développement des compétences et accompagnement personnalisé.
NOTRE ENGAGEMENT EN FAVEUR DE L'INCLUSION ET DE L'ACCESSIBILITE
Chez Decathlon, nous reconnaissons l'immense valeur qu'apporte la diversité à nos équipes et nous nous efforçons continuellement de favoriser et de cultiver un lieu de travail inclusif et équitable : c'est pourquoi l'Inclusion est l'un de nos Fondamentaux Humains. Nous encourageons les personnes de tous horizons et de toutes capacités à postuler, car nous sommes convaincu·es que la diversité des pensées, des cultures, des identités et des expériences vécues nous rend plus fort·es.
Decathlon s'engage également à offrir un processus de sélection inclusif et accessible à tous les candidat·es. En cas de besoin d'aménagement, tu peux en faire la demande via le formulaire de candidature, celle-ci sera confidentielle. Ces demandes n'affectent pas le résultat du processus de recrutement.
DECATHLON DIGITAL
Imaginez si la technologie nous permettait de repousser les frontières et d'offrir des expériences sportives inédites. C'est précisément notre ambition chez Decathlon Digital ! Nous sommes une équipe de plus de 5 000 experts en ingénierie logicielle, gestion de produits, données, cloud et cybersécurité, répartis à Paris, Lille et Amsterdam. Ensemble, nous créons la plus vaste plateforme sportive numérique, en exploitant les innovations technologiques pour optimiser la chaîne de valeur, concevoir des expériences connectées et donner une seconde vie à nos produits.
Changeons la donne pour de bon. Notre passion du sport nous guide et nous voulons qu’elle perdure. C’est pourquoi nous nous engageons à bâtir un modèle technologique plus durable, en réduisant notre impact direct sur l'environnement, et en créant un espace sûr et inclusif pour apprendre et nous épanouir ensemble. Rejoins l’équipe et façonnons le futur du sport.
At Alma, we believe sustainable commerce depends on fair, well‑balanced trade. Because finance plays a pivotal role in business, our mission is to put it back in its rightful place - serving merchants and consumers.
Our installment and deferred payment solutions help merchants boost sales by 20% or more, increase customer loyalty, and deliver a seamless shopping experience - without encouraging bad debt.
As the buy now pay later leader in France and active in 10 European countries, we’ve empowered over 21,000 merchants and 8 million consumers.
With 360+ Almakers and €100M+ ARR, Alma is scaling rapidly across Europe—and we’re just getting started.
Alma is the company for you if are looking for:
Collective intelligence is the driving force behind Alma: we are looking for open-minded, curious, and ambitious people who want to actively participate in this exponential growth.
To continue to deliver an optimal purchasing experience and absolute ease of use, all teams at Alma (Tech, Product, Sales, Operations, Data, Risk, Finance, Compliance, Legal, Marketing and People) will strengthen their members to maintain the highest standards of quality and trust while pushing these innovations at Alma’s pace.
TEAM INTRO
The mission of our Operations team is to provide the best customer support experience to our users (consumers and merchants) and to scale efficiently the daily operations of our business leveraging automation, AI and data.
YOUR MISSIONS
Purpose of the job
We are looking for a Senior Data Analyst in our Operations team. The role is based in our HQ in Paris.
You will play a pivotal role in leveraging our data to improve the experience of our users, drive efficiency and quality, reduce risk, and surface opportunities and improvements to your stakeholders. You will hold a cross-functional role that bridges our team with the rest of the organisation, particularly with the data, product, and engineering teams. ****
Your key missions include:
Build, improve, and maintain data and dashboards that will empower our teams to monitor their key performance indicators, make data-driven business decisions, and drive accountability.
Support our team members on their day-to-day data requests ****to ensure our operations run like a well-oiled machine.
Train our team members on understanding our data and data tools.
Deep dive into data to frame business problems and gather actionable insights and data-driven solutions, notably to our tech team.
Drive a data culture in the team with documentation and best practices, and work closely with our Central Data teams to improve data quality across the board.
Hard skills
Experience with data visualisation tools (Looker, Tableau…) and languages (at least SQL, Python is a plus)
Excellent spoken and written communication skills and the ability to convey complex findings in a clear and understandable way
Fluent in English (FR is a plus)
Good understanding of data architecture principles
Ease of Metrics definition and usage to drive business decision
Soft skills
You are autonomous, thorough and detail-oriented.
You have good communication skills. You are able to challenge and convince your stakeholders.
You are a problem solver. You love to investigate issues and identify the root causes of problems in order to identify appropriate solutions.
You are customer oriented. You are able to put yourself in our users’ shoes and come up with creative ideas to improve their experience.
You have an entrepreneurial mindset. You do not hesitate to take ownership and “get your hands dirty”.
Ability to work in an international environment with diverse cultures
OUR VALUES
Raise the bar
Do the right thing
Test, Learn, Repeat
Make it happen
Lead with humility
DIVERSITY & INCLUSION
At Alma, we're committed to fostering an environment where diversity and inclusion are at the heart of our values. Our goal is to attract and build a diverse, equal and inclusive team, where everyone feels welcome.
As an equal opportunities employer we make sure the application process and our workplace is for everyone.
Artefact est une société internationale de conseil en services data et IA, dont le siège est à Paris, qui depuis 10 ans est spécialisée dans la conception et le déploiement de technologies d’intelligence artificielle et de solutions data-driven, dont la mission est d’accélérer l'adoption de l'IA pour un impact positif sur les individus et les organisations.
Pionnière dans son domaine, à partir des données et de technologies avancées d’intelligence artificielle, les équipes de consultants métiers et d’ingénieurs travaillent ensemble pour développer des solutions qui créent de l’impact business et améliorent la productivité sur l’ensemble de la chaîne de valeur des entreprises, et ce dans le respect d’un usage éthique et responsable de la data.
Alliant le meilleur de l’expertise technologique et de l’excellence opérationnelle, Artefact accompagne plus de 1000 sociétés dans le monde pour accélérer leur transformation business, dont plus de 300 entreprises internationales telles qu’Orange, Samsung, L’Oréal ou encore Sanofi. Ses 2000 experts répartis dans 36 bureaux à travers le monde, interviennent dans tous les secteurs clés de l’économie : industrie, retail, luxe, grande consommation, santé, finance, etc…
En tant que Stagiaire Data Consultant, tu seras pleinement intégré(e) à une équipe de consultants. Ton rôle sera d'assister nos clients dans l'élaboration et la mise en œuvre de leur stratégie data, de la phase d'idéation jusqu'à l'implémentation. Tes missions pourront inclure :
Cadrage / gestion des projets : interview clients et partenaires, mise en place de workshops, préparation des uses cases…
Construction de roadmaps, d’analyses data-driven avec l’équipe projet et conception d'infrastructures en collaboration avec nos experts
Orchestration du bon déroulement du projet, en appliquant le cas échéant les méthodes agiles (sprints planning et reviews, backlog refinement, démos…)
Veille technologique et sectorielle : rester à l'affût des dernières tendances en matière de data et d'intelligence artificielle pour proposer des solutions innovantes.
Communication : Préparer des présentations et des supports de communication pour les comités de direction et les équipes clientes.
Processus de recrutement
Étape 1 : HR call avec notre chargée de recrutement. Le but de cet entretien est de faire votre connaissance, de nous parler de vos expériences professionnelles, vos envies et d'en savoir plus sur votre intérêt pour le conseil et Artefact (30 minutes)
Étape 2 : entretien de type business case avec un premier tour avec un senior puis un manager Data Consultant. Le but de cet entretien est de tester vos méthodes et capacités déductives, votre capacité à résoudre un problème et de confirmer votre intérêt pour Artefact (1 heure)
Profil recherché
Formation : tu es étudiant(e) en dernière année de cycle ingénieur ou au sein d'une grand école de commerce avec une spécialisation en Data, Conseil, ou Management de l'Innovation et tu recherches ton stage de fin d'études à partir de Juillet 2026
Compétences :
Fort intérêt pour la Data Science et les technologies de la donnée. Tu n'es pas nécessairement un(e) expert(e) technique, mais tu comprends les concepts clés du machine learning, de la Business Intelligence, et du Big Data.
Excellentes compétences analytiques et de synthèse.
Maîtrise avancée de la suite Microsoft Office (en particulier PowerPoint et Excel).
Une connaissance de SQL ou d'un outil de visualisation de données (Power BI, Tableau) est un plus.
Qualités personnelles :
Sens de la communication et du relationnel : Tu es capable de t'exprimer clairement et de t'adapter à différents interlocuteurs.
Proactivité et autonomie : Tu es force de proposition et prends des initiatives.
Rigueur et organisation : Tu es capable de gérer plusieurs tâches et de respecter les délais.
Français courant pour travailler en équipe et anglais professionnel obligatoire pour nos clients internationaux
Ce que nous offrons
Un stage de 6 mois basé à Paris.
Un environnement de travail stimulant au sein d'une équipe dynamique et experte.
L'opportunité de travailler sur des projets concrets avec des entreprises de premier plan.
La possibilité d'être embauché(e) en CDI à la fin du stage.
Si tu es passionné(e) par la data et que tu souhaites développer une double compétence en conseil et en technologie, envoie-nous ta candidature !
Chez Artefact, nous recrutons nos collaborateurs uniquement en fonction de nos besoins et des qualités propres de chaque candidat. Nous assurons le développement de leurs compétences professionnelles et de leurs responsabilités sans discrimination d’aucune sorte. Le groupe s'engage à reconnaître et promouvoir tous les talents, quels que soient leurs croyances, âge, handicap, parentalité, origine ethnique, nationalité, identité de genre, orientation sexuelle, appartenance à une organisation politique, religieuse, syndicale ou à une minorité, ou toute autre caractéristique qui pourrait faire l'objet d'une discrimination.
Artefact est une société internationale de conseil en services data et IA, dont le siège est à Paris, qui depuis 10 ans est spécialisée dans la conception et le déploiement de technologies d’intelligence artificielle et de solutions data-driven, dont la mission est d’accélérer l'adoption de l'IA pour un impact positif sur les individus et les organisations.
Pionnière dans son domaine, à partir des données et de technologies avancées d’intelligence artificielle, les équipes de consultants métiers et d’ingénieurs travaillent ensemble pour développer des solutions qui créent de l’impact business et améliorent la productivité sur l’ensemble de la chaîne de valeur des entreprises, et ce dans le respect d’un usage éthique et responsable de la data.
Alliant le meilleur de l’expertise technologique et de l’excellence opérationnelle, Artefact accompagne plus de 1000 sociétés dans le monde pour accélérer leur transformation business, dont plus de 300 entreprises internationales telles qu’Orange, Samsung, L’Oréal ou encore Sanofi. Ses 2000 experts répartis dans 36 bureaux à travers le monde, interviennent dans tous les secteurs clés de l’économie : industrie, retail, luxe, grande consommation, santé, finance, etc…
En tant que Stagiaire Data Consultant, tu seras pleinement intégré(e) à une équipe de consultants. Ton rôle sera d'assister nos clients dans l'élaboration et la mise en œuvre de leur stratégie data, de la phase d'idéation jusqu'à l'implémentation. Tes missions pourront inclure :
Cadrage / gestion des projets : interview clients et partenaires, mise en place de workshops, préparation des uses cases…
Construction de roadmaps, d’analyses data-driven avec l’équipe projet et conception d'infrastructures en collaboration avec nos experts
Orchestration du bon déroulement du projet, en appliquant le cas échéant les méthodes agiles (sprints planning et reviews, backlog refinement, démos…)
Veille technologique et sectorielle : rester à l'affût des dernières tendances en matière de data et d'intelligence artificielle pour proposer des solutions innovantes.
Communication : Préparer des présentations et des supports de communication pour les comités de direction et les équipes clientes.
Processus de recrutement
Étape 1 : HR call avec notre chargée de recrutement. Le but de cet entretien est de faire votre connaissance, de nous parler de vos expériences professionnelles, vos envies et d'en savoir plus sur votre intérêt pour le conseil et Artefact (30 minutes)
Étape 2 : entretien de type business case avec un premier tour avec un senior puis un manager Data Consultant. Le but de cet entretien est de tester vos méthodes et capacités déductives, votre capacité à résoudre un problème et de confirmer votre intérêt pour Artefact (1 heure)
Profil recherché
Formation : tu es étudiant(e) en dernière année de cycle ingénieur ou au sein d'une grand école de commerce avec une spécialisation en Data, Conseil, ou Management de l'Innovation et tu recherches ton stage de fin d'études à partir de Juillet 2026
Compétences :
Fort intérêt pour la Data Science et les technologies de la donnée. Tu n'es pas nécessairement un(e) expert(e) technique, mais tu comprends les concepts clés du machine learning, de la Business Intelligence, et du Big Data.
Excellentes compétences analytiques et de synthèse.
Maîtrise avancée de la suite Microsoft Office (en particulier PowerPoint et Excel).
Une connaissance de SQL ou d'un outil de visualisation de données (Power BI, Tableau) est un plus.
Qualités personnelles :
Sens de la communication et du relationnel : Tu es capable de t'exprimer clairement et de t'adapter à différents interlocuteurs.
Proactivité et autonomie : Tu es force de proposition et prends des initiatives.
Rigueur et organisation : Tu es capable de gérer plusieurs tâches et de respecter les délais.
Français courant pour travailler en équipe et anglais professionnel obligatoire pour nos clients internationaux
Ce que nous offrons
Un stage de 6 mois basé à Paris.
Un environnement de travail stimulant au sein d'une équipe dynamique et experte.
L'opportunité de travailler sur des projets concrets avec des entreprises de premier plan.
La possibilité d'être embauché(e) en CDI à la fin du stage.
Si tu es passionné(e) par la data et que tu souhaites développer une double compétence en conseil et en technologie, envoie-nous ta candidature !
Chez Artefact, nous recrutons nos collaborateurs uniquement en fonction de nos besoins et des qualités propres de chaque candidat. Nous assurons le développement de leurs compétences professionnelles et de leurs responsabilités sans discrimination d’aucune sorte. Le groupe s'engage à reconnaître et promouvoir tous les talents, quels que soient leurs croyances, âge, handicap, parentalité, origine ethnique, nationalité, identité de genre, orientation sexuelle, appartenance à une organisation politique, religieuse, syndicale ou à une minorité, ou toute autre caractéristique qui pourrait faire l'objet d'une discrimination.
Artefact est une société internationale de conseil en services data et IA, dont le siège est à Paris, qui depuis 10 ans est spécialisée dans la conception et le déploiement de technologies d’intelligence artificielle et de solutions data-driven, dont la mission est d’accélérer l'adoption de l'IA pour un impact positif sur les individus et les organisations.
Pionnière dans son domaine, à partir des données et de technologies avancées d’intelligence artificielle, les équipes de consultants métiers et d’ingénieurs travaillent ensemble pour développer des solutions qui créent de l’impact business et améliorent la productivité sur l’ensemble de la chaîne de valeur des entreprises, et ce dans le respect d’un usage éthique et responsable de la data.
Alliant le meilleur de l’expertise technologique et de l’excellence opérationnelle, Artefact accompagne plus de 1000 sociétés dans le monde pour accélérer leur transformation business, dont plus de 300 entreprises internationales telles qu’Orange, Samsung, L’Oréal ou encore Sanofi. Ses 2000 experts répartis dans 36 bureaux à travers le monde, interviennent dans tous les secteurs clés de l’économie : industrie, retail, luxe, grande consommation, santé, finance, etc…
En tant que Stagiaire Data Consultant, tu seras pleinement intégré(e) à une équipe de consultants. Ton rôle sera d'assister nos clients dans l'élaboration et la mise en œuvre de leur stratégie data, de la phase d'idéation jusqu'à l'implémentation. Tes missions pourront inclure :
Cadrage / gestion des projets : interview clients et partenaires, mise en place de workshops, préparation des uses cases…
Construction de roadmaps, d’analyses data-driven avec l’équipe projet et conception d'infrastructures en collaboration avec nos experts
Orchestration du bon déroulement du projet, en appliquant le cas échéant les méthodes agiles (sprints planning et reviews, backlog refinement, démos…)
Veille technologique et sectorielle : rester à l'affût des dernières tendances en matière de data et d'intelligence artificielle pour proposer des solutions innovantes.
Communication : Préparer des présentations et des supports de communication pour les comités de direction et les équipes clientes.
Processus de recrutement
Étape 1 : HR call avec notre chargée de recrutement. Le but de cet entretien est de faire votre connaissance, de nous parler de vos expériences professionnelles, vos envies et d'en savoir plus sur votre intérêt pour le conseil et Artefact (30 minutes)
Étape 2 : entretien de type business case avec un premier tour avec un senior puis un manager Data Consultant. Le but de cet entretien est de tester vos méthodes et capacités déductives, votre capacité à résoudre un problème et de confirmer votre intérêt pour Artefact (1 heure)
Profil recherché
Formation : tu es étudiant(e) en dernière année de cycle ingénieur ou au sein d'une grand école de commerce avec une spécialisation en Data, Conseil, ou Management de l'Innovation et tu recherches ton stage de fin d'études à partir de Juillet 2026
Compétences :
Fort intérêt pour la Data Science et les technologies de la donnée. Tu n'es pas nécessairement un(e) expert(e) technique, mais tu comprends les concepts clés du machine learning, de la Business Intelligence, et du Big Data.
Excellentes compétences analytiques et de synthèse.
Maîtrise avancée de la suite Microsoft Office (en particulier PowerPoint et Excel).
Une connaissance de SQL ou d'un outil de visualisation de données (Power BI, Tableau) est un plus.
Qualités personnelles :
Sens de la communication et du relationnel : Tu es capable de t'exprimer clairement et de t'adapter à différents interlocuteurs.
Proactivité et autonomie : Tu es force de proposition et prends des initiatives.
Rigueur et organisation : Tu es capable de gérer plusieurs tâches et de respecter les délais.
Français courant pour travailler en équipe et anglais professionnel obligatoire pour nos clients internationaux
Ce que nous offrons
Un stage de 6 mois basé à Paris.
Un environnement de travail stimulant au sein d'une équipe dynamique et experte.
L'opportunité de travailler sur des projets concrets avec des entreprises de premier plan.
La possibilité d'être embauché(e) en CDI à la fin du stage.
Si tu es passionné(e) par la data et que tu souhaites développer une double compétence en conseil et en technologie, envoie-nous ta candidature !
Chez Artefact, nous recrutons nos collaborateurs uniquement en fonction de nos besoins et des qualités propres de chaque candidat. Nous assurons le développement de leurs compétences professionnelles et de leurs responsabilités sans discrimination d’aucune sorte. Le groupe s'engage à reconnaître et promouvoir tous les talents, quels que soient leurs croyances, âge, handicap, parentalité, origine ethnique, nationalité, identité de genre, orientation sexuelle, appartenance à une organisation politique, religieuse, syndicale ou à une minorité, ou toute autre caractéristique qui pourrait faire l'objet d'une discrimination.
Data Analyst Backend E-commerce (f/m/d) - Alternance
Notre équipe Backend E-commerce recherche un·e Data Analyst (f/m/d) en Alternance basé·e à Paris. Rythme souhaité : périodes longues en entreprise (3 semaines en entreprise / 1 semaine en cours)
PRÉSENTATION DE L'ÉQUIPE
Rejoins une équipe dynamique de 15 passionné·es (développeur·euses, product owners, data engineers) au cœur de la stratégie digitale de Decathlon. Notre objectif : garantir la robustesse et l'efficacité des flux de données qui propulsent notre plateforme e-commerce mondiale. Ton impact sera direct sur l'expérience de millions de sportifs et sportives, avec pour défi d'allier performance technique et innovation responsable.
TA FUTURE CONTRIBUTION
En tant qu'alternant·e Data Analyst, tu seras le pont entre les données brutes backend et les décisions stratégiques. Tes missions s'articuleront autour de 4 piliers :
Analyse et Interprétation des Données
Concevoir et mettre en œuvre des analyses pour extraire des informations utiles (ventes, tendances, comportements).
Utiliser des méthodes statistiques (analyse descriptive, ACP, classifications) pour résoudre des problématiques business complexes.
Traduire les besoins des équipes métier (Business, Marketing, Produit) en problèmes analytiques concrets.
Aider au développement d'outils de segmentation clients et de modèles de scoring.
Préparation et Modélisation
Participer au nettoyage, à l'exploration et à la préparation des jeux de données.
Contribuer au développement, aux tests et à l'évaluation de modèles d'IA.
Visualisation et Communication
Créer des tableaux de bord (Dashboards) et des agents IA pour le suivi des indicateurs clés (KPIs).
Présenter les résultats de manière claire et percutante aux différentes parties prenantes.
Collaboration et Innovation
Évoluer dans un environnement Agile avec des outils modernes (Git).
Assurer une veille technologique sur les nouvelles tendances en data analyse.
CE QUE TU APPORTES
Formation & Expérience : Une première expérience significative (stage, projet universitaire) dans un environnement technique similaire.
Compétences Analytiques : Une maîtrise des fondamentaux statistiques et une capacité à transformer la donnée en action.
Mindset : Une forte appétence pour le business, la connaissance client et la création de valeur.
Culture : Un esprit d'équipe prononcé, le goût du partage et un intérêt pour l'impact du sport.
Engagement : L'envie de rejoindre une entreprise Tech4Good et de contribuer à une innovation responsable.
STACK TECHNIQUE
Databricks (SQL / Python)
DBT / Airflow
Tableau for data visualization
Git
POURQUOI NOUS REJOINDRE ?
Chez Decathlon, nous mettons un point d’honneur à offrir un cadre de travail épanouissant et motivant.
🚀 Un environnement de travail stimulant : entreprise certifiée Great Place to Work et Happy Trainees. 💰 Des avantages attractifs(après 3 mois d’ancienneté) :
Primes mensuelles, intéressement, actionnariat
Avantages CSE
25% de réduction sur nos produits
Prise en charge de ta CVEC
Remboursement de 50% du titre de transport & aide à la mobilité urbaine 🎯 Un accompagnement sur mesure : coaching, formations internes et externes, partage de connaissances. ⚡ Une culture du sport et du test produit : deviens ambassadeur.trice de nos innovations et rejoins nos équipes sportives internes !
FAQ – TOUTES TES QUESTIONS
Comment préparer ma candidature et comment se déroule le processus de recrutement ?
1️⃣ Lis bien l’offre et mets en avant tes expériences et compétences les plus pertinentes. 2️⃣ Personnalise ton CV pour te démarquer. 3️⃣ Après candidature, tu recevras une réponse sous deux semaines. Si tu es sélectionné.e, tu passeras au moins deux entretiens avec ton futur leader et un.e référent.e métier.
Je ne connais pas le secteur du sport, ai-je ma place chez Decathlon ?
Bien sûr ! Nous recherchons avant tout des personnes passionnées et motivées, que ce soit dans leur domaine d’expertise ou par le sport en général.
Être étudiant chez Decathlon, c’est quoi ?
C’est bien plus qu’une simple alternance ou un stage ! C’est façonner ton avenir professionnel en contribuant à des projets concrets qui ont du sens pour toi, tout en étant accompagné et soutenu à chaque étape.
🎯 Notre ambition ? T’offrir une expérience enrichissante pour te préparer à ton futur métier et, pourquoi pas, t’accueillir en CDI à l’issue de ton alternance. D’ailleurs, plus de 50% de nos étudiants rejoignent définitivement l’aventure Decathlon ! 🚀
DECATHLON DIGITAL
Imaginez si la technologie nous permettait de repousser les frontières et d'offrir des expériences sportives inédites. C'est précisément notre ambition chez Decathlon Digital ! Nous sommes une équipe de plus de 5 000 experts en ingénierie logicielle, gestion de produits, données, cloud et cybersécurité, répartis à Paris, Lille et Amsterdam. Ensemble, nous créons la plus vaste plateforme sportive numérique, en exploitant les innovations technologiques pour optimiser la chaîne de valeur, concevoir des expériences connectées et donner une seconde vie à nos produits.
Changeons la donne pour de bon. Notre passion du sport nous guide et nous voulons qu’elle perdure. C’est pourquoi nous nous engageons à bâtir un modèle technologique plus durable, en réduisant notre impact direct sur l'environnement, et en créant un espace sûr et inclusif pour apprendre et nous épanouir ensemble. Rejoins l’équipe et façonnons le futur du sport.
Notre équipe Data Paiement recherche un·e Data Analyst (f/m/d) en Alternance basé·e à Paris.
PRÉSENTATION DE L'ÉQUIPE
Rejoins notre équipe spécialisée dans la donnée de paiement, une fonction critique au cœur de notre stratégie e-commerce. Tu intégreras un environnement collaboratif où la précision technique rencontre les enjeux business. Notre objectif : optimiser nos processus backend et garantir la fluidité des transactions pour offrir la meilleure expérience utilisateur possible. Ton rôle sera d'apporter une visibilité claire sur les flux financiers et de guider nos décisions stratégiques grâce à la data.
TA FUTURE CONTRIBUTION
En tant qu'alternant·e Data Analyst Payment, tu joueras un rôle essentiel dans la transformation des données transactionnelles en informations exploitables. Tes missions s'articuleront autour de 4 piliers :
Analyse et Interprétation des Données
Collecter, organiser et analyser les données issues des systèmes backend de notre plateforme.
Explorer les tendances pour identifier des opportunités d’optimisation (ventes, gestion d'inventaire, flux de paiement).
Analyser les comportements clients à travers les données transactionnelles pour fournir des insights exploitables.
Visualisation et Reporting
Développer des tableaux de bord et des rapports automatisés pour suivre les indicateurs de performance (KPI).
Présenter les résultats de manière claire pour soutenir les décisions opérationnelles et stratégiques.
Fiabilisation et Modélisation
Collaborer avec les équipes techniques pour améliorer la fiabilité des données et la robustesse des pipelines.
Participer à l'optimisation continue des processus de gestion de données.
Collaboration et Innovation
Travailler en étroite collaboration avec les équipes techniques et métiers pour aligner l'analyse de données sur les besoins du terrain.
Contribuer à l’évolution des outils internes pour une meilleure exploitation du Big Data transactionnel.
CE QUE TU APPORTES
Formation & Expérience : Étudiant(e) en école de commerce, d'ingénieur ou cursus universitaire spécialisé en Data/Statistiques.
Compétences Analytiques : Capacité à traiter de grandes quantités de données complexes et à en extraire une narration cohérente (Data Storytelling).
Mindset : Une forte orientation résultats, de la curiosité pour les problématiques de paiement et de backend e-commerce.
Culture : Esprit d'équipe, rigueur analytique et aisance à communiquer avec des profils techniques.
STACK TECHNIQUE (À titre indicatif)
SQL / Python
Outils de Data Visualisation (Tableau, Power BI ou similaire)
Environnements Cloud / Backend E-commerce
Gestion de flux transactionnels
CE DONT TU AS BESOIN POUR RÉUSSIR
Une première expérience significative (projets universitaire, stage ou alternance) dans un environnement technique similaire.
Une appétence forte pour le travail en équipe et une culture du partage.
Un intérêt pour l’impact du sport sur le développement personnel et collectif.
L’envie de rejoindre une entreprise engagée dans le Tech4Good et l’innovation responsable.
POURQUOI NOUS REJOINDRE ?
Chez Decathlon, nous mettons un point d’honneur à offrir un cadre de travail épanouissant et motivant.
🚀 Un environnement de travail stimulant : entreprise certifiée Great Place to Work et Happy Trainees. 💰 Des avantages attractifs(après 3 mois d’ancienneté) :
Primes mensuelles, intéressement, actionnariat
Avantages CSE
25% de réduction sur nos produits
Prise en charge de ta CVEC
Remboursement de 50% du titre de transport & aide à la mobilité urbaine 🎯 Un accompagnement sur mesure : coaching, formations internes et externes, partage de connaissances. ⚡ Une culture du sport et du test produit : deviens ambassadeur.trice de nos innovations et rejoins nos équipes sportives internes !
FAQ – TOUTES TES QUESTIONS
Comment préparer ma candidature et comment se déroule le processus de recrutement ?
1️⃣ Lis bien l’offre et mets en avant tes expériences et compétences les plus pertinentes. 2️⃣ Personnalise ton CV pour te démarquer. 3️⃣ Après candidature, tu recevras une réponse sous deux semaines. Si tu es sélectionné.e, tu passeras au moins deux entretiens avec ton futur leader et un.e référent.e métier.
Je ne connais pas le secteur du sport, ai-je ma place chez Decathlon ?
Bien sûr ! Nous recherchons avant tout des personnes passionnées et motivées, que ce soit dans leur domaine d’expertise ou par le sport en général.
Être étudiant chez Decathlon, c’est quoi ?
C’est bien plus qu’une simple alternance ou un stage ! C’est façonner ton avenir professionnel en contribuant à des projets concrets qui ont du sens pour toi, tout en étant accompagné et soutenu à chaque étape.
🎯 Notre ambition ? T’offrir une expérience enrichissante pour te préparer à ton futur métier et, pourquoi pas, t’accueillir en CDI à l’issue de ton alternance. D’ailleurs, plus de 50% de nos étudiants rejoignent définitivement l’aventure Decathlon ! 🚀
DECATHLON DIGITAL
Imaginez si la technologie nous permettait de repousser les frontières et d'offrir des expériences sportives inédites. C'est précisément notre ambition chez Decathlon Digital ! Nous sommes une équipe de plus de 5 000 experts en ingénierie logicielle, gestion de produits, données, cloud et cybersécurité, répartis à Paris, Lille et Amsterdam. Ensemble, nous créons la plus vaste plateforme sportive numérique, en exploitant les innovations technologiques pour optimiser la chaîne de valeur, concevoir des expériences connectées et donner une seconde vie à nos produits.
Changeons la donne pour de bon. Notre passion du sport nous guide et nous voulons qu’elle perdure. C’est pourquoi nous nous engageons à bâtir un modèle technologique plus durable, en réduisant notre impact direct sur l'environnement, et en créant un espace sûr et inclusif pour apprendre et nous épanouir ensemble. Rejoins l’équipe et façonnons le futur du sport.
L’équipe Business Capability Platform recherche un·e Data Scientist / Machine Learning Engineer (f/m/d) en Alternance basé·e à Paris.
PRÉSENTATION DE L'ÉQUIPE
Rejoins une équipe dynamique d'une dizaine d'expert·es data (Data Scientist, ML Engineer, Data Analysts, Analytics Engineer) au cœur de la stratégie technologique de Decathlon. Notre mission est de construire des plateformes scalables pour transformer l'expérience client et sécuriser nos opérations. Nous relevons des défis passionnants tels que la modération automatique d'avis et la lutte contre la fraude, avec un impact direct sur des millions d'utilisateurs·trices à travers le monde. Chez nous, l'innovation se conjugue avec l'esprit d'équipe et le droit à l'erreur pour grandir ensemble.
TA FUTURE CONTRIBUTION
En tant qu'alternant·e, tu seras pleinement intégré·e au cycle de vie de nos produits Data.
Tes missions principales incluront :
Conception & Développement : Participer à l'industrialisation des pipelines de données et de Machine Learning (training et inférence).
Mise en production (MLOps) : déployer des modèles via Docker et Kubernetes et assurer l'intégration continue (CI/CD) pour garantir la stabilité de nos services.
Optimisation : Contribuer à l'amélioration de la qualité du code (testing, refactoring) et à l'optimisation des performances algorithmiques.
Monitoring : Mettre en place et suivre les indicateurs de performance des modèles en production (Drift detection, MLflow).
CE QUE TU APPORTES
Tu prépares un diplôme de niveau Master (École d'Ingénieur ou Université) avec une spécialisation en Data Science ou Machine Learning.
Tu as une première expérience (projet académique ou stage) en manipulation de données et modélisation.
Tu es reconnu·e pour ta curiosité technique, ton esprit d'analyse et ton envie d'apprendre au sein d'un environnement technologique de pointe.
Data : Spark, Pandas, Scikit-learn, PyTorch/TensorFlow.
CE DONT TU AS BESOIN POUR RÉUSSIR
Une première expérience significative (projets universitaire, stage ou alternance) dans un environnement technique similaire.
Une appétence forte pour le travail en équipe et une culture du partage.
Un intérêt pour l’impact du sport sur le développement personnel et collectif.
L’envie de rejoindre une entreprise engagée dans le Tech4Good et l’innovation responsable.
POURQUOI NOUS REJOINDRE ?
Chez Decathlon, nous mettons un point d’honneur à offrir un cadre de travail épanouissant et motivant.
🚀 Un environnement de travail stimulant : entreprise certifiée Great Place to Work et Happy Trainees. 💰 Des avantages attractifs(après 3 mois d’ancienneté) :
Primes mensuelles, intéressement, actionnariat
Avantages CSE
25% de réduction sur nos produits
Prise en charge de ta CVEC
Remboursement de 50% du titre de transport & aide à la mobilité urbaine 🎯 Un accompagnement sur mesure : coaching, formations internes et externes, partage de connaissances. ⚡ Une culture du sport et du test produit : deviens ambassadeur.trice de nos innovations et rejoins nos équipes sportives internes !
FAQ – TOUTES TES QUESTIONS
Comment préparer ma candidature et comment se déroule le processus de recrutement ?
1️⃣ Lis bien l’offre et mets en avant tes expériences et compétences les plus pertinentes. 2️⃣ Personnalise ton CV pour te démarquer. 3️⃣ Après candidature, tu recevras une réponse sous deux semaines. Si tu es sélectionné.e, tu passeras au moins deux entretiens avec ton futur leader et un.e référent.e métier.
Je ne connais pas le secteur du sport, ai-je ma place chez Decathlon ?
Bien sûr ! Nous recherchons avant tout des personnes passionnées et motivées, que ce soit dans leur domaine d’expertise ou par le sport en général.
Être étudiant chez Decathlon, c’est quoi ?
C’est bien plus qu’une simple alternance ou un stage ! C’est façonner ton avenir professionnel en contribuant à des projets concrets qui ont du sens pour toi, tout en étant accompagné et soutenu à chaque étape.
🎯 Notre ambition ? T’offrir une expérience enrichissante pour te préparer à ton futur métier et, pourquoi pas, t’accueillir en CDI à l’issue de ton alternance. D’ailleurs, plus de 50% de nos étudiants rejoignent définitivement l’aventure Decathlon ! 🚀
DECATHLON DIGITAL
Imaginez si la technologie nous permettait de repousser les frontières et d'offrir des expériences sportives inédites. C'est précisément notre ambition chez Decathlon Digital ! Nous sommes une équipe de plus de 5 000 experts en ingénierie logicielle, gestion de produits, données, cloud et cybersécurité, répartis à Paris, Lille et Amsterdam. Ensemble, nous créons la plus vaste plateforme sportive numérique, en exploitant les innovations technologiques pour optimiser la chaîne de valeur, concevoir des expériences connectées et donner une seconde vie à nos produits.
Changeons la donne pour de bon. Notre passion du sport nous guide et nous voulons qu’elle perdure. C’est pourquoi nous nous engageons à bâtir un modèle technologique plus durable, en réduisant notre impact direct sur l'environnement, et en créant un espace sûr et inclusif pour apprendre et nous épanouir ensemble. Rejoins l’équipe et façonnons le futur du sport.
Nous sommes à la recherche d’un consultant de haut niveau spécialisé en Data Engineering, disposant d’une expertise approfondie dans les technologies AWS (Kinesis, DMS, S3, etc.), Airflow, Terraform, GitLab CI/CD, Python ainsi qu’une solide maîtrise des bases de données telles qu’Exadata, Oracle, SQL Server et Snowflake. Il sera chargé de concevoir et développer des pipelines de réplication et de traitement de données dans un environnement cloud tout en contribuant activement à la fiabilité, l’automatisation et la scalabilité de notre plateforme data.
Rejoignez-nous, épanouissez-vous
Vos missions :
- Développement de pipelines ETL/ELT avec Airflow, Python, SQL - Connexion aux bases sources (Exadata, Oracle, etc.) - Intégration des données dans AWS (S3, Kinesis, DMS, Lambda...) - Nettoyage, mapping, déduplication et enrichissement des données - Collaboration avec les ’architectes pour appliquer les modèles cibles - Documentation technique et référentiels - Concevoir et mettre en œuvre les flux de réplication - Harmoniser et transformer les données - Automatiser les pipelines de données - Développer des Pipelines Gitlab CI/CD - Développer d'IaC pour des architectures sophistiquées full AWS avec Terraform, Ansible et Python. - Contribuer au FinOps
Vous êtes le bon candidat si :
- Aptitudes : Être dynamique, proactif, autonome, et ouvert d'esprit, bon communicant avec une grande curiosité scientifique - Très bonne maîtrise de l’écosystème AWS (S3, Kinesis, DMS, Lambda…) - Très bonne maîtrise des bases des données et des Data warehouses (Exadata, Oracle, SQL Server, Snowflake, etc.) - Maitrise des langages : SQL, Python - Maîtrise des outils de traitement et d’orchestration (Apache Airflow, dbt, Python, SQL) - Bonne expérience en Terraform pour l’IaC - Connaissance de GitLab CI/CD pour l’automatisation des déploiements - Expérience avec des CRM - Connaissance des problématiques de data quality, modélisation, monitoring et alerting - Expérience : Justifier d'au moins 6 ans d'expérience en tant que Data Engineer ou Ingénieur Intégration Data dans des environnements dans un environnement similaire - Une ou plusieurs certifications (AWS, Snowflake, Terraform, etc.) sont fortement appréciées - Langues : Maîtrise de l'anglais courant
Ce que nous avons à vous offrir
CAPFI est une entreprise vivante qui place le collectif et le partage entre pairs au cœur de sa culture. Nous vous proposons un environnement de travail flexible dans l’organisation et agile dans le choix de vos missions. CAPFI c’est aussi :
Vous offrir la possibilité de suivre des formations certifiantes ;
Vous permettre de rejoindre les Tribus et de faire vivre l’énergie collective et l’expertise de CAPFI ;
Vous permettre de consacrer un peu de votre temps pour aider les autres, via NQT, Emmaüs Connect et Le Congé Solidaire, des initiatives dont CAPFI est partenaire.
Chez CAPFI, nous mettons aussi un point d’honneur à ce que tous nos talents évoluent dans un environnement de travail sain, serein et respectueux des exigences sociétales et environnementales. C’est pourquoi :
Nous sommes labellisés B Corp ;
Nous sommes signataires de la charte sur l’équilibre vie professionnelle – vie personnelle et de la charte éthique CAPFI.
Notre processus de recrutement :
1 Nous apprenons à nous connaître lors d’un premier entretien téléphonique puis une visio
2 Si vous avez le feeling et que nous aussi, vous réalisez un test technique via la plateforme CodinGame
3 Débrief des résultats de votre test avec un consultant CAPFI
4 Kick off : nous vous proposons une offre de collaboration et nous en discutons ensemble
5 Vous embarquez pour une session d’onboarding : bienvenue dans la famille CAPFI !
Product Analytics aims to help developers, product managers and designers understand their users, take data-oriented product decisions and evaluate the impact of technical issues on their customer base. As a Senior Software Engineer on the Product Analytics Backend team, you'll join a new, fast-growing product area. You will help define our technical vision, influence the product roadmap, and solve complex engineering challenges at scale.
In Product Analytics, we consume and process data from multiple sources: clickstreams, user information, and data from third-party systems. Your work will be central to building a robust and flexible system that can ingest, manipulate, correlate and store all this data to have it efficiently queried by our end users.
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, build, and maintain core backend systems for Product Analytics, ensuring scalability, reliability, and high performance
Drive technical architecture decisions in alignment with product goals and collaborate closely with frontend and platform teams
Work with our core platform teams to tailor Datadog's storage and query solutions to our needs
Create a strong team culture aligned with our engineering standards and our customer focus
Participate in hands-on engineering work including coding, code reviews, and design reviews
Who You Are:
A seasoned backend engineer with deep expertise in designing and building distributed systems
Comfortable influencing technical direction without direct management authority, operating as a technical leader and mentor
Interested in working on an early stage project with many challenges to solve and a fast iteration cycle
You have a track record of delivering high-quality software products on schedule and collaborating closely with product partners
Strong technician, particularly with Go, Java or SQL, who is interested in remaining a hands-on contributor
You’re excited about leveraging AI tools to enhance how you code, solve problems, and build – or eager to learn how
You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output
Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.
Benefits and Growth:
New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
Continuous professional development, product training, and career pathing
Intradepartmental mentor and buddy program for in-house networking
An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
Access to Inclusion Talks, our Internal panel discussions
Free, global mental health benefits for employees and dependents age 6+
Competitive global benefits
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
#LI-Hybrid
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
As a Customer Data Scientist at Datadog, you will partner directly with customers to help them design, execute, and scale high-impact experimentation programs. This role is ideal for someone with deep experience in applied experimentation who thrives in customer-facing environments and is motivated by driving measurable business outcomes. You will guide customers through experiment design, metric development, and data validation, helping them build trustworthy, decision-driven experimentation practices. Working cross-functionally with Sales, Product, and Engineering, you’ll play a key role in both customer success and product evolution.
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:
Serve as a technical and analytical partner to customers across pre-sales and post-sales engagements, demonstrating the value of Datadog’s experimentation capabilities
Support proofs of concept by helping customers define metrics, validate data pipelines, and design statistically sound experiments
Educate customers on best practices in experiment design and interpretation across product, marketing, pricing, and AI-driven use cases
Enable long-term customer success by building strong experimentation practices and analytical rigor within their teams
Collaborate with Product and Engineering to translate customer feedback into product improvements and roadmap input
Partner with Sales and Solutions teams to navigate complex customer needs, address objections, and build trusted relationships
Who You Are:
4+ years of experience in data science with a strong foundation in statistics, causal inference, and experimental design in applied business or product contexts
Hands-on experience running A/B tests and applying advanced experimentation methods such as holdouts, bandits, synthetic controls, or geo-based testing
Fluent in SQL and comfortable working with data warehouses and pipelines to diagnose and resolve data quality issues
Experienced in customer-facing, consulting, or pre-sales environments, with the ability to communicate complex ideas clearly to diverse audiences
Skilled at translating analytical insights into business impact, influencing decisions across technical and non-technical stakeholders
Experience with experimentation platforms, analytics tooling, or modern data stack technologies (e.g., dbt, Airflow) is a plus
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.
Benefits and Growth:
Generous and competitive benefits package
New hire stock equity (RSUs) and employee stock purchase plan
Continuous career development and pathing opportunities
Employee-focused best in class onboarding
Internal mentor and cross-departmental buddy program
Friendly and inclusive workplace culture
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
#LI-Hybrid
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Are you an ambitious graduate ready to tackle complex, real-world challenges at the intersection of data, strategy and tech?
The Future Leaders Graduate Program – Business Analytics at Picnic is a two-year launchpad for exceptional talents. From day one, you join a business team, own a business topic, and become an expert in your field.
At Picnic, we’re building the future of grocery. Using cutting-edge technology and data-driven innovation, we challenge the status quo and build the world’s smartest, most customer-focused supermarket. We move fast, think big, and turn bold ideas into tangible impact.
Tricks of the trade
Lead with ambition: Bring your relentless determination, creativity, and grit. Take the driver’s seat and redefine the grocery shopping experience for millions. You will be expected to think independently, move fast, and deliver results.
Steep learning curve: Your growth comes from owning real problems, testing your ideas, learning from your mistakes and starting again. You'll blend hands-on training with immediate execution, you’ll move at a pace that accelerates your growth like nowhere else.
Solve real-life puzzles: Spot opportunities, use tools at the forefront of technology, and own the outcome end to end. Not just making slides, but building the solution yourself.
Innovate across borders: You’ll collaborate with teams across the Netherlands, Germany, and France, tackling challenges that redefine how Picnic operates at a European scale.
High-performance environment: You’ll work alongside some of the best teams in analytics and tech, people who set a high bar and expect you to do the same.
From learning to leading
In your first six months, you’ll own a business-critical project from start to finish - supported by mentorship, learning sessions, and regular feedback. You’ll strengthen your leadership abilities like project management, storytelling, stakeholder communication, giving & receiving feedback, while sharpening your skills in Python, SQL, Excel and PowerPoint.
As your scope grows, so does your responsibility. You might scale your initial project or take on new challenges in the same domain. Either way, the pace is yours to set.
Where you’ll make an impact
From day one, you’ll be embedded in a business team, taking ownership in one of the following domains:
Consumer - Drive growth through pricing, supplier strategy, and our market strategy. Think: Shaping our successful market entry into new cities. Your decisions shape how millions of customers experience Picnic.
Tech - Work at the intersection of product and infrastructure, building scalable systems that power our operations. Think: building software and algorithms our FCAs run on or launch new features in our app used by millions.
Logistics - Build the backbone of Picnic: robotic fulfilment, demand forecasting, route optimization across Europe and much more
Your superpowers
You don't wait for permission. You see a problem, build the solution, and bring people with you, before anyone asks. You've probably already started something: a project, a product, a business, an initiative that didn't exist until you made it happen.
More specifically, you:
Are about to graduate (or recently graduated) a Masters in a quantitative field: e.g., mathematics, econometrics, engineering, or similar
Have experience in high-performance environments: consulting, fast-growth startups, or competitive internships and know what it means to raise the bar.
Show an entrepreneurial mindset: you build, improve, and take ownership without being asked
Think like a builder: hands-on, curious, and driven to challenge the status quo with practical solutions
You have already gained basic knowledge in PowerPoint, Python, SQL, Excel or alternative coding languages
EU citizenship or valid EU working permit required.
Many strong candidates (particularly women) talk themselves out of applying because they don't tick every box. If this excites you and you believe you have what it takes, apply. We only hire when we find the right match. That’s why our selection process is intentionally highly selective.
Why Picnic?
Grow as we grow. We’re scaling quickly across countries and millions of customers and this is just the start. Grow your impact as we grow; we invest in your path but the driver's seat is always yours.
Work with other innovators. Work with a driven, energetic team that builds, wins, and celebrates together (think of legendary Friday drinks, our Ski trip and our parties)
Kickstart your career. Earn a competitive salary and step into a program designed to launch your long-term future at Picnic.
When are you joining?
Fall Edition 2026 Start dates: September, October *earlier or later dates can be arranged, please indicate your preference in the application question
Spring Edition 2027 Start dates: February, March *earlier or later dates can be arranged, please indicate your preference in the application question
📍 Location: Full-time in Paris, with period trips to NL and DE
There is no deadline: Our aim is to find the most ambitious people out there. We onboard talents on a monthly basis, so whether you join in April or August, you’ll always have a group of people sharing the ride.
Picnic Perks
🚲Health and Transportation Through our partnerships with Malakoff Humanis and OpenUp, you have the opportunity to enroll in our company health insurance plan, as well as free and easy access to professional psychologists, workshops, and practical tools. Additionally, if you commute to work using public transportation, we reimburse 50% of your subscription cost.
🍉Food Since we are located in the center of Paris, there is no on-site cafeteria. However, you will receive meal vouchers worth €11 per day to explore all the delicious restaurants nearby. Our small kitchen is also stocked with tasty snacks and refreshments.
📈Personal and Professional Development You will have the opportunity to develop your skills not only through exciting projects and a dynamic environment but also via training programs offered by Lepaya.
🏖️All the rest You get 25 days of paid vacation, plus additional rest days (RTT) based on the number of days worked in the year. Picnic provides you with a laptop, a phone, and a paid SIM card. 🚀Access to exclusive deals and perks through our Works Council (CSE) and our partner Swile (gift cards, concert tickets, cinema discounts, and more)
FAQ
Do I need a quantitative background? It's a strong advantage, but not a hard requirement. If your internships and projects demonstrate real hands-on ownership and data-driven thinking, we'll consider your application. You do need a Master's degree, basic knowledge of Python or SQL, and relevant work experience.
Does the program include rotations? No, intentionally. We believe depth creates ownership, and ownership creates impact. Rather than rotating across teams, you’ll go deep in one area, build real expertise, and gradually expand your scope as your impact grows. If you have topic preferences, tell us during the process.
In what language should I apply? English. Please include your CV and Master's degree transcript or any other relevant test scores (e.g., GMAT)
What are the long-term opportunities after the program? This program is a fast track into a high-impact career at Picnic, it’s an entry point for a long-term future, not a two-year stopover.
Career paths here are as varied as the people on them. Some grow vertically, building deep expertise and a team around them as their project expands. Others move laterally - from Commercial to Fulfilment, Distribution to Customer, or wherever their strengths and ambitions take them. What they share is real ownership, real impact, and a career they shaped themselves.
At Picnic, we’re building the future of grocery shopping. Through cutting-edge technology and data-driven innovation, we challenge the status quo, set the standard for the industry, and turn ambition into impact at scale. We move fast, think big, and redefine what’s possible. If you’re a bold, entrepreneurial thinker who wants real ownership, this is your chance to help create the world’s smartest, most customer-focused supermarket.
As a Business Analyst at Picnic, you’ll be at the forefront of innovation, tackling complex challenges with fresh, groundbreaking and lasting solutions. This role is all about driving impact: you’ll analyze data, identify opportunities, develop strategies that push boundaries and redefine the grocery shopping experience for millions of customers. We believe there’s no puzzle we cannot solve with the team we’re building here. Which complex problems will you solve at Picnic? From day one, your first project, team, and lead will be chosen to fit your strengths. But the real opportunity is endless: you’ll tackle diverse, high-impact challenges over time across operations, products, and consumer teams. And the best part? You own your path and your growth every step of the way.
Tricks of the trade
Solving real-life puzzles. Face business questions like a consultant. See the problem, invent a solution, own the path to success. At Picnic, we treat business questions like puzzles in need of solving. Curious about what these puzzles could be?
Innovating across borders. Working on projects spanning three countries and contributing to Picnic’s in-house innovation, shaping the business model as we grow and create solutions that have never been done before
Building sustainable solutions. From concept to implementation, take full ownership, design, build, collaborate with stakeholders, and make your solutions work in the real world
Owning solutions end-to-end. From concept to implementation, take full ownership, design, build, collaborate with stakeholders, and make your solutions work in the real world
Leading with ambition. Using your relentless determination, creativity and grit to take the driver's seat and redefine the grocery shopping experience for millions of customers
Your superpowers
Strong quantitative foundation. You hold a Master’s degree in Engineering, Econometrics, Mathematics, Physics, or a comparable quantitative field
Proven impact in dynamic environments. 2-4 years of work experience in a fast-paced environment, start-up, or scale up. First touchpoints with business consulting is a big plus!
Problem-solver at heart. You thrive on complex, real-world challenges and excel at breaking big, ambiguous problems into smart, actionable solutions.
Clear and confident communicator.Strong communication skills in English which allow you to convert abstract plans into structural solutions for your stakeholders.
Go-getter with an entrepreneurial mindset. You cut through ambiguity, take initiative, and turn ideas into action. Whether driving projects to delivery or building ventures from the ground up, you always find a way to make things happen.
Analytical mindset. You have a strong grasp of math, logic, and quantitative reasoning, and bring a data-driven approach. Experience with SQL and Python is a plus.
* Please Note: This is not a one-time hire. We’re hiring for this role throughout the year as part of our ongoing growth and expansion. Additionally, a EU citizenship or valid visa to work in the EU is required for this position.
Why Picnic?
Work alongside the best. You’ll collaborate with some of the most talented and ambitious people in your field, we set the bar high for what we do and who joins our team.
International perspective. You’ll travel across our European offices and work on international challenges, collaborating with colleagues all over Europe
Endless growth. Your journey at Picnic starts with two days in operations, experiencing firsthand how we deliver to our customers. Then, you’ll meet your team and dive straight into your first project. From day one, you’ll take ownership. You own your path and the possibilities for growth and impact are endless.
Young, dynamic, and vibrant teams. To build an extraordinary product, you need extraordinary people and a little fun along the way. We celebrate our successes with legendary parties, team events, Friday drinks and much more!
Picnic Perks
🚲Health and Transportation Through our partnerships with Malakoff Humanis and OpenUp, you have the opportunity to enroll in our company health insurance plan, as well as free and easy access to professional psychologists, workshops, and practical tools. Additionally, if you commute to work using public transportation, we reimburse 50% of your subscription cost.
🍉Food Since we are located in the center of Paris, there is no on-site cafeteria. However, you will receive meal vouchers worth €11 per day to explore all the delicious restaurants nearby. Our small kitchen is also stocked with tasty snacks and refreshments.
📈Personal and Professional Development You will have the opportunity to develop your skills not only through exciting projects and a dynamic environment but also via training programs offered by Lepaya.
🏖️All the rest You get 25 days of paid vacation, plus additional rest days (RTT) based on the number of days worked in the year. Picnic provides you with a laptop, a phone, and a paid SIM card.
🚀Access to exclusive deals and perks through our Works Council (CSE) and our partner Swile (gift cards, concert tickets, cinema discounts, and more)
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
Dataiku is looking for a Data Engineer to join our Enterprise Data and Analytics (EDA) team. As a member of the EDA team, you will play a central role in delivering data to fuel analytics and data-driven insights to various stakeholders and teams within the company. You will also be a key technical member contributing to the data platform that fuels centralized analytics, embedded analytics teams, Generative AI engineering, and self-service users across the organization.
This role is about 50% Data Operations, Support & Troubleshooting, and 50% new development. The data engineering day-to-day will primarily be within the data platform built using Snowflake, Dataiku, and GitHub. Primary development will focus on Python & SQL, DataOps processes built within GitHub Actions & Dataiku, and data platform processes built within Snowflake & Dataiku.
Non-technical skills and learning are also critical, as you will collaborate with engineers from various teams and help deliver solutions across a wide variety of technical domains. The ideal candidate is naturally curious, has excellent verbal and written communication skills, a sharp analytical mind, a positive attitude towards work, and thrives when collaborating towards a shared goal.
This is an internal and non-client facing role.
What you’ll do:
Dataiku is unique in that every Dataiker is encouraged to use our own product within our Enterprise Data Platform. That means this is a unique opportunity to deliver a scalable platform with governed data to fuel an entire company of current or potential Data Analysts & Data Consumers! Your responsibilities within the team include but are not limited to:
Develop engineering expertise within the Dataiku Platform to help maintain and develop system integrations, platform automations, and platform configurations.
Develop engineering expertise within Snowflake for data engineering and security/governance features
Build & maintain python & SQL data replication & data pipelines on large & often complex data sets
Build & maintain data quality metrics & observability to help drive data quality standards
Learn about existing systems and processes across Data Platforms, Data Engineering and Data Governance
Troubleshoot data pipelines, platform automations, data access system.
Help field and troubleshoot various community questions and challenges
Own, maintain and enhance data operation processes, monitoring & data quality systems
Design data models for both short term and long term use cases to support data warehouse scalability
Build & maintain administration systems and applications for monitoring, alerting, data observability, access management, platform metrics, and end user transparency
Identify opportunities for improvements & optimization for greater scalability & delivery velocity
Collaborate closely with Analytics Engineers to provide data & data models for analytical deliverables
Perform root cause analysis on often complex errors to help ensure data pipeline availability
Help test new features in Dataiku and partner tools to both provide feedback internally as well as determine value towards internal analytics & data platform integration
Work closely with key stakeholders across the organization including Infra, embedded analytics teams, Product and Engineering to help foster both technical implementations & requirements gathering
Proactively drive innovation internally with bringing ideas for platform and process improvements
Help contribute to the ongoing documentation of internal systems and processes
Requirements:
2+ years of relevant experience in Data Engineering / Data Platform Engineering
Strong technical skills in SQL & Python are a must. Experience in Dataiku DSS is a big plus.
Prior experience with Snowflake a plus
Prior experience with DevOps technologies such as Github Actions, Azure DevOps or Jenkins
Experience in building data models
Prior experience building and maintaining replication & data pipelines in a cloud data warehouse or data lake environment
Excellent analytical and creative problem-solving skills - exhibit confidence to ask questions to bring clarity, share ideas, and challenge the norm.
Passion for continuous learning and teaching to help learn & teach new technologies & implementation strategies
Experience working with complex stakeholders; dissecting vague asks and helping to define tangible requirements
Ability to manage multiple projects and time constraints simultaneously in a high-trust remote environment
Ability to wear multiple hats depending on the project with the focus on accomplishing end goals while inspiring colleagues to do the same
Excellent written and verbal communication skills (especially with senior-level stakeholders) with the ability to speak to both the business value, data products, & technical capabilities of a platform. Ability to create clear and concise documentations with a high degree of precision
What are you waiting for!
At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.
Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com
Protect yourself from fraudulent recruitment activity
Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.
Founded in 2012, Mirakl has been at the forefront of marketplace innovation, empowering every business to compete in the platform economy.
Today, Mirakl’s operating system combines an enterprise marketplace solution (Mirakl Platform) that enables retailers and B2B organizations to launch, scale, and operate marketplaces and dropship, AI-powered multichannel selling (Mirakl Connect), retail media (Mirakl Ads) and an agentic commerce infrastructure (Mirakl Nexus).
With dual headquarters in Boston and Paris, Mirakl helps a global ecosystem of 450+ marketplaces (B2C and B2B) and a network of over 100k third-party marketplace sellers. Brands like Macy’s, Decathlon, Carrefour, Asos, and Airbus Helicopters use Mirakl to grow their businesses in new and remarkable ways.
👥 750+ employees in 9 offices worldwide: Paris, Barcelona, Bordeaux, Boston, London, Munich, New York, Sydney, Tokyo
🇫🇷 350+ Mirakl Tech teams members mainly based in France
⚙️ 5 Saas Solutions
Our Values:
Working at Mirakl means accelerating your career alongside ambitious, passionate, and supportive colleagues. We're proud of the diversity of backgrounds, perspectives, and experiences that make our teams unique.
Our 5 values guide how we collaborate:
💡 Work Hard Together: Teamwork and collaboration are the foundation of our success
🏆 Get Things Done: We prioritize action and efficiency for impactful results
🚀 Go Above & Beyond: We tackle challenges proactively and always aim for excellence
🎓 Succeed Through Expertise: Knowledge sharing and continuous learning are core to our culture
Design, build, and scale internal AI agents that integrate with company systems, automate workflows, and deliver measurable operational impact. This is a permanent position (CDI) based in Paris or Bordeaux, with 4 days on-site per week.
Why Now, Why Mirakl
The rise of agentic AI has fundamentally changed what's possible in our team automation. For the first time, AI agents can handle complex, multi-step workflows with minimal human intervention.
Mirakl is uniquely positioned to lead this shift. As an Operating system for intelligent commerce, technology is in our DNA. We've already deployed some AI agents using Dust, n8n, Claude Code and Langchain, and the early results are compelling. Now we need someone to take this from experimentation to internal agent industrialization — designing the system that will power the company of tomorrow.
You won't be joining a company that's thinking about AI. You'll be joining one that's already building it — and you'll be at the center of what comes next.
Who are we looking for?
Backend Engineer with AI exposure – solid on APIs, reliability, and scalable integrations, with growing experience in LLMs
Data / Analytics Engineer – strong on data structuring and business use cases, relevant for analytics-driven agents
ML / Applied AI Engineer – good understanding of LLMs, RAG, and evaluation, with potential to grow on productization
What You’ll Do
1. Design & Build AI Agents
Create workflow-driven AI agents (e.g., BDR, Contract, Accounting agents)
Architect multi-step agent systems including prompts, tools, memory, and guardrails
Rapidly prototype solutions and evolve them into production-grade products
2. Integrate Across the Stack
Connect agents to internal systems (CRM, data platforms, Drive, Jira, etc.)
Enable agents to perform real actions (e.g., update CRM, generate reports, create tickets)
Ensure reliable orchestration between APIs, tools, and data sources
3. Iterate for Impact
Run pilots with end users and gather qualitative and quantitative feedback
Analyze usage, errors, and performance metrics
Continuously improve accuracy, reliability, and user experience
4. Ensure Security & Quality
Implement robust guardrails, validation layers, and access controls
Ensure compliance with data security and governance standards
Clearly document each agent (scope, capabilities, limitations, KPIs, roadmap)
5. Drive Adoption & Enablement
Build a clean, scalable agent ecosystem for internal users
Support and educate teams on adopting agents in their workflows
Contribute to internal best practices and agent-building standards
Act as a champion for AI-driven ways of working
Collaborative: you work hand-in-hand with our process owners, the Solution architect and the Data team.
Our stack and tools:
GenAI APIs: OpenAI, Anthropic, Mistral, Gemini
Agent & Automation Tools: n8n, Dust, Claude
Cloud: AWS or GCP
What Makes You Successful
Strong product mindset: able to identify friction and design practical solutions
Ability to turn ambiguous problems into structured, automated workflows
Focus on measurable impact, not just technical output
Success Metrics
Adoption: number of agents actively used and delivering value
Automation rate: % of tasks completed without human intervention
Performance: accuracy, reliability, and user satisfaction
Business impact: time saved, quality improvements, operational efficiency
You'll Love This Job If you have
3 to 5 years of experience as a Data Scientist, ML Engineer, or Software Engineer, with a background in backend/full-stack development, data, or automation workflows
Proven experience building AI agents using LLMs, RAG, MCP and related technologies, including architectural design of multi-step agentic workflows
Proficient in Python and data fundamentals (SQL, JSON, data modeling)
Production deployment expertise, you've shipped AI solutions in production
Experience with API integrations, MCP, webhooks, and connectors
Experience with low-code/no-code automation platforms (n8n, Make, Zapier or equivalent)
Curiosity and continuous learning, you stay current with AI/ML trends and love exploring new technologies
Strong communication skills in both English and French
Feel free to add a link to your GitHub in your CV so we can understand what you have worked on!
Want to join us? Here is our process
A 40-minute phone conversation with one of our Tech recruiters. This will be an opportunity to discuss your background, expectations, and discover what Mirakl can offer you in return.
An initial 1 hour technical discussion with a member of the Data Science team and Engineering Team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects.
2 x 45-minute "STAR" interviews with future Mirakl colleagues to discuss our values and company culture.
We welcome collaborators with their diverse perspectives and experiences to power us forward. These often far exceed conventional job requirements and help us create a culture of continuous learning. If you’re ready to join a global leader powering digital transformation for 450+ of the world’s most innovative retailers and B2B organizations..
We may use Artificial Intelligence (AI) solutions to help streamline our hiring process, including screening applications, analyzing resumes, and assessing responses. While AI helps us work efficiently, all final hiring decisions are made by humans. For more information, visit our AI Guidelines for Candidates and Interviews.
Shift delivers AI agents that transform insurers' most critical work. By combining deep industry expertise and unmatched data resources, Shift provides proven results that have earned the trust of hundreds of the world's leading insurers. Our insurance-grade AI is accurate, explainable, and secure—empowering human experts to move with unmatched speed, total confidence, and a renewed focus on the people they serve.
Our culture is built on innovation, trust, and a drive to transform the insurance industry through our SaaS platform. We come from more than 50 different countries and cultures and together we are creating the future of insurance.
Our Engineering team lies at the core of the value we offer to our customers. We solve complex problems not only within our squads but also by working collaboratively with other teams across the organization.
We’re reshaping the way data drives decision-making by building powerful, scalable software and data platforms. Whether you're passionate about distributed systems, building APIs, or enabling data-driven insights, you'll find exciting opportunities here.
Our tech stack includes .NET Core (C#), Python, MS SQL Server, ElasticSearch, Spark, Azure Data Factory (ADF), GoodData, Terraform and more. We are also progressing towards distributed data systems on cloud platforms, with exciting challenges in both bulk and real-time processing.
WHAT YOU'LL DO
Your technical expertise and autonomy will allow you to design and implement scalable, intuitive features across our platform.
Build and maintain high-performance data pipelines, contributing to a robust data and application architecture.
Collaborate closely with cross-functional teams including Data Scientists, Engineers, and Product Managers to deliver impactful solutions.
Operate and enhance our data infrastructure, ensuring seamless data movement across platforms.
Support the evaluation and integration of tools that empower engineering and data science teams.
WHAT YOU BRING
5+ years of experience in software development or data engineering in cloud-based environments.
Strong programming skills in Python, with a solid grasp of OOP principles - C# programming experience would be nice to have
Very good grasp of Infra-as-Code (IaC) and Terraform
Proficiency in data transformation and processing tools (e.g. PySpark, dbt).
Experience designing scalable and robust data platforms.
Familiarity with data modeling techniques (e.g., star schema, data vault).
Experience with distributed data systems and Database optimization
Comfortable working with NoSQL data stores and SQL Server.
Experience in ETL processes and orchestration tools like Apache Airflow etc
A passion for continuous learning, mentoring, and solving complex problems.
Excellent communication skills in English.
HIRING PROCESS
HR Screening
Hiring manager Screening
Technical Screening with an Architect
Second Technical Screening with a Tech Lead or Data Engineer
Final Round with Hiring Manager
#LI-RH1 #LI-HYBRID
To support our permanent, full time employees at every stage of their careers and lives, we provide a competitive total rewards and benefits package. Here are the global benefits we’d like to highlight:
Flexible remote and hybrid working options
Competitive Salary and a variable component tied to personal and company performance
Multiple Learning and Development opportunities, including Focus Fridays, a half-day each month to focus on learning and personal growth
Generous PTO and paid holidays
Mental health benefits
2 MAD Days per year (Make A Difference Days for paid volunteering)
Additional benefits may be offered by country, based on your eligibility - ask your recruiter for more information. Intern and Apprentice positions may receive some of these benefits - ask your recruiter for more details.
At Shift we strive to be a diverse and inclusive workforce. We welcome applications from and hire people who will contribute to the diversity of our company, without regard to race, color, religion, marital status, age, national or ethnic origin, physical or mental disability, medical condition, pregnancy, genetic information, gender identity or expression, sexual orientation, or other non-merit criteria.
Shift Technology is committed to providing reasonable accommodations for qualified individuals with disabilities in our application and employment process. Should you require accommodation, please email accommodation@shift-technology.com and we will work with you to meet your accessibility needs.
Please be aware of scammers and only trust correspondence that comes from emails ending in "shift-technology.com". We will never do initial outreach to you via Whatsapp/Text/SMS, never ask for banking information or personal identification numbers (ex. Social Security Number) as part of our recruitment process.
Shift Technology does not accept unsolicited CVs from recruiters or employment agencies in response to the Shift Technology Careers page or a Shift Technology social media post. Any unsolicited CVs, including those submitted directly to hiring managers, are deemed to be the property of Shift Technology.
Mozilla Corporation is the non-profit-backed technology company that has shaped the internet for the better over the last 25 years. We make pioneering brands like Firefox, the privacy-minded web browser. Now, with more than 225 million people around the world using our products each month, we’re shaping the next 25 years of technology and helping to reclaim an internet built for people, not companies. Our work focuses on diverse areas including AI, social media, security and more. And we’re doing this while never losing our focus on our core mission – to make the internet better for people.
The Mozilla Corporation is wholly owned by the non-profit 501(c) Mozilla Foundation. This means we aren’t beholden to any shareholders — only to our mission. Along with thousands of volunteer contributors and collaborators all over the world, Mozillians design, build and distribute open-source software that enables people to enjoy the internet on their terms.
About this team and role:
Firefox developers land code every day to delight users with new features and improve product performance and security. Every day, developers and managers use our team’s applications to develop, build, test, and deliver Mozilla’s core products. We are force-multipliers to enable Firefox developers to do their best work.
What you’ll do:
Improve Firefox development workflows to reduce time spent testing and debugging test failures as well as more integration/automation of workflows
Work with a geographically-distributed development team
Mentor other team members and be mentored by more senior team members
Collaborate with other teams by providing code review and technical direction
Look at data, make dashboards, identify trends in Firefox development workflow
What you’ll bring:
Proven Python skills, including building services
Front-end development experience, including JavaScript proficiency
Experience with Python frameworks (e.g., FastAPI, Flask, Django), Cloud Services (e.g., GCP, AWS) and REST
Solid understanding of databases and SQL
Experience with CI/CD systems (e.g., GitHub Actions, CircleCI) and test harnesses
Comfortable working cross-platform, familiar with at least 2 of: Windows, Linux, Mac, Android
A passion for enhancing developer productivity
Commitment to our values:
Welcoming differences
Being relationship-minded
Practicing responsible participation
Having grit
Bonus points for:
A deep understanding of version control systems
Experience with containerization and continuous delivery/deployment, particularly with Docker
Experience with CI of large scale projects
Comfortable with data analysis
What you’ll get:
Generous performance-based bonus plans to all eligible employees - we share in our success as one team
Rich medical, dental, and vision coverage
Generous retirement contributions with 100% immediate vesting (regardless of whether you contribute)
Quarterly all-company wellness days where everyone takes a pause together
Country specific holidays plus a day off for your birthday
One-time home office stipend
Annual professional development budget
Quarterly well-being stipend
Considerable paid parental leave
Employee referral bonus program
Other benefits (life/AD&D, disability, EAP, etc. - varies by country)
About Mozilla
Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. When you work at Mozilla, you give yourself a chance to make a difference in the lives of Web users everywhere. And you give us a chance to make a difference in your life every single day. Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online.
Commitment to diversity, equity, inclusion, and belonging
Mozilla understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities, and expressions.
We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at hiringaccommodation@mozilla.com to request accommodation.
We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws. Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose.
Wheely is redefining premium transportation across major cities in Europe, the US, and the Middle East. We blend cutting-edge technology with the craft of five-star chauffeuring to deliver an experience trusted by more than 100,000 active riders and 1,200 corporate accounts.
We’re a profitable, fast-growing scale-up with $43M raised and over $100M in annual revenue. Having recently launched in New York City, we’re expanding rapidly across the US and EMEA. If you take pride in your craft and want to help shape the next chapter of our growth, we'd love to hear from you.
About the Role
At Wheely, Operations is the core engine of our business. We operate a high-frequency, luxury marketplace where precision is the baseline. As an Associate Operations Manager, you will be responsible for the health of our marketplace. You will work alongside senior leadership to solve complex supply-demand challenges, optimise pricing mechanics, and ensure systemic efficiency across your market.
Responsibilities
Marketplace Optimisation: Leverage predictive forecasting to anticipate market needs and deploy tactical levers including dynamic pricing, structured chauffeur incentives, and configuration adjustments.
Operational Analytics: Utilise advanced data analytics to perform deep-dive root-cause analysis on marketplace inefficiencies. You are expected to translate complex data into clear, actionable insights and strategic recommendations that directly influence business performance.
Strategic Execution & Impact: Own the full execution lifecycle: from deploying localised configurations to monitoring post-launch performance. You will move beyond delivery to validate that every initiative achieves its intended business impact, iterating on tactics in real-time to ensure measurable improvements.
Product and Operations Link: Act as the strategic link between Product and Local Operations to solve marketplace inefficiencies. You will translate local operational friction into technical requirements to further improve marketplace health and platform functionality.
Requirements
Academic Excellence: A degree in a highly quantitative field (Economics, Mathematics, Physics, or Engineering) from a top-tier university;
Quantitative Depth: Exceptional analytical skills with the ability to translate complex data sets into strategic decisions. Proficiency in SQL is mandatory;
Professional Grit & Ownership: A high-performance mindset with the tenacity to operate in a high-stakes environment. You are a “finisher” who does not stop until the objective is met, and the target is achieved;
Problem-Solving: A track record of delivering creative, data-backed solutions to ambiguous problems;
Communication: Exceptional skills with a focus on clarity, structure, and executive-level ownership;
Emotional Intelligence: Demonstrated EQ with a customer-centric approach, essential for balancing marketplace mechanics with partner satisfaction;
Ability to work from the Paris Wheely Academy (9th arrondissement) 5 days a week.
Join the Supply Chain Analytics adventure at Decathlon Digital.
At Decathlon, Analytics is a union of Data Analysts, BI Engineers, and Analytics Engineers, a team of 150 people within the Data teams, spread across various fields. If you love data and want to use it to make a difference, join us!
The Data Supply Chain, is responsible for designing, developing, and maintaining innovative analytical and AI solutions around supply chain issues such as product assortment by optimizing costs, the dispatch of our products across our network, and the visibility and availability of our products on our platforms, to name a few.
The multidisciplinary team is composed of Data Scientists, Data Analysts, Analytics Engineers, Data PMs, and BI Engineers. It works closely with product managers and business partners using agile methodology and a state-of-the-art technical stack.
We are hiring a Senior Data Analyst (permanent contract), based in Lille or Paris.
Your mission: Collaborate, Analyze, Inform, and Drive Impact!
As a Data Analyst, you will serve as a key link between data teams and supply business teams (product managers, dispatchers, etc.), supporting them in making strategic, data-driven decisions.
YOUR RESPONSIBILITIES
You engage with business contacts and operational teams to gain a better understanding of the issues you're working on. You develop appropriate data solutions by being proactive and respecting their constraints, while maintaining a sound understanding of existing analyses and tools.
You identify the data needed for your study and ensure its quality and reliability. You perform the data cleaning and preparation prior to applying the statistical and analytical methods you choose. (Note: You respect and promote the ethical framework for the use of personal data.)
There are a variety of responsibilities :
Analyze the performance of Decathlon's Downstream Supply Chain (Dispatch, Replenishment, Stock Positioning, Order Management)
Support business teams and provide proactive analysis and recommendations
Delivering impactful insights and strong recommendations to guide business decisions.
Supporting business stakeholders in building their data skills and acting as a liaison between them and other data teams.
Experience: 3+ years in Data Analysis with strong expertise in SQL and data visualization.
Business understanding: You grasp the challenges of designing and selling physical products and know how to turn business needs into well-defined problems and actionable recommendations.
Analytical mindset: You are strong in structuring analysis and interpreting meaningful insights.
Collaborative spirit: You’re comfortable working in cross-functional teams (business, data, product, governance).
Proactive & curious: You enjoy exploring new solutions and continuously improving analysis methods.
Languages: You have professional proficiency in English
WHAT WE OFFER
A team of sports and data enthusiasts
Two remote working days per week
Equipment tailored to your needs (Mac, Windows, Chromebook)
Career development opportunities locally and internationally
Training and technical certifications from year one
If you want to shape the future of Supply Chain through data — join us!
DECATHLON DIGITAL CONTEXT
What if technology allowed us to push the boundaries and take sports experiences to new levels? That's exactly our goal at Decathlon Digital! We are a team of 5,000+ experts in software engineering, product management, data, cloud, and cybersecurity, distributed across Paris, Lille, and Amsterdam. Together, we are creating the largest digital sports platform, leveraging tech innovation from design to value chain optimization, connected experiences and product second life.
Changing the game for good. We are in this for the love of sports. And like everything we love, we want it to last. That’s why we are embarking on a journey to create a more sustainable tech model, reducing our direct environmental impact while maintaining a safe, diverse, and inclusive space for all our people to learn and thrive together. Team up with us to design the digital future of sports.
iBanFirst is a fast-growing European fintech that is revolutionizing international payments for SMEs. Founded in 2016, our platform empowers Small & Medium Multinationals (SMMs) to regain control over their payment operations: currency conversion (FX), international transactions, and foreign exchange risk management across 140 countries — quickly, transparently, and securely.
We make life easier for SMEs through an advanced technology platform (automation, APIs, AI…) combined with dedicated expertise, offering the best of both worlds: the agility of a SaaS solution and the reliability of a trusted partner.
By simplifying complexity, iBanFirst helps thousands of bold companies seize global business opportunities with peace of mind — delivering simplicity, transparency, and security.
Key figures
350+ employees across 14 offices in 11 European countries
30+ nationalities represented, average age: 32
10,000 corporate clients trust us
€80M in revenue in 2025, with a target of around €100M in 2026
Profitable for nearly two years
Ranked for 6 consecutive years in the Financial Times FT1000, among the fastest-growing European companies
An NPS of 87.5 — an exceptional score in our industry that reflects enthusiastic client feedback on the simplicity, speed, and quality of our service
A strong culture built around 4 core values
Team First: The complexity of our industry demands collective intelligence. We prioritize cooperation, transparency, and knowledge sharing. Success is a team effort, and decisions are made together.
Tenacity: We're transforming a challenging and highly regulated market. It requires endurance, fast learning, and resilience — qualities rooted in our entrepreneurial DNA.
Transformation: Innovation is not a buzzword; it's a necessity in a constantly shifting and strategic sector. We innovate with intent: every technical, product, or organizational improvement is designed for real impact.
Trust: Trust is the foundation of everything we build — with our clients and, above all, internally. It's driven by ownership, autonomy, and a shared commitment to transparency, rigor, and reliability.
Why join us?
We operate at the heart of a strategic and fast-evolving sector: international payments for SMEs — a complex, high-potential market.
We're driven by a meaningful mission: helping bold "Small & Medium Multinationals" succeed globally.
Our platform integrates cutting-edge technologies (AI, automation…), making it an ideal playground to test, learn, and innovate continuously.
You'll join an agile environment where your expertise has tangible impact, working alongside talent from top financial institutions.
iBanFirst is profitable and backed by long-term investors:
Xavier Niel and Bpifrance, historical shareholders, have supported and trusted us from the beginning
In 2021, the entry of Marlin Equity Partners marked a new chapter in our international ambitions
Joining iBanFirst means joining a profitable, international, fast-growing tech company. It's also a chance to learn, grow, and contribute directly to a shared ambition: simplifying international finance for SMEs.
The Role
Recruitment Context
We are opening this position with the strategic objective of strengthening the seniority level of our Data Analytics team. We are looking for experienced profiles who can take full ownership of cross-functional projects, act as true business partners, and help elevate the team's overall impact across the organization.
Manager & Team
You will report to Fatimata Sall, Head of Data at iBanFirst.
You'll be joining a Data Analytics team of 7 people, including:
2 Team Lead Data Analysts
3 Data Analysts
The team collaborates closely with all business functions: Finance, Sales, Compliance, Product, Marketing, and Operations. 2026 is an exciting year for the team, with three strategic priorities driving our roadmap: enabling self-service analytics, strengthening data infrastructure and processes, and raising the bar on data quality and governance. You will play a central role in all three.
What will you do?
We are looking for a passionate and highly motivated Senior Data Analyst to join our Data Analytics team. In this role, you will act as a strategic business partner across all functions, driving data-driven decision-making and delivering actionable insights that shape iBanFirst's growth.
You will bridge the gap between business needs and technical implementation, leading complex analytics projects end-to-end while championing scalable, high-quality data practices.
Task breakdown (indicative):
70% — Business partnering, analysis & reporting: Work hand-in-hand with business teams to understand their needs, translate them into analytical frameworks, and lead complex cross-functional data projects. Build and maintain strategic dashboards and reports; perform advanced analyses (cohort, attribution, forecasting) and deliver clear recommendations.
30% — Technical contribution & data quality: Write high-quality SQL, contribute to data models, and help drive data governance and self-service & AI initiatives.
Key responsibilities:
Strategic Analytics & Business Partnership
Act as the go-to analytics expert for all business domains (Finance, Sales, Compliance, Product, Marketing, Operations)
Translate complex business challenges into analytical frameworks and deliver actionable insights
Proactively identify improvement opportunities and lead strategic data initiatives end-to-end
Foster a data-driven culture through training, best practice sharing, and stakeholder enablement
Advanced Analysis & Reporting
Lead complex, cross-functional analytics projects involving multiple data sources
Build strategic dashboards and reports that empower teams to make data-driven decisions autonomously
Perform advanced ad-hoc analyses and deliver clear, actionable recommendations
Technical Excellence & Scalability
Write high-quality SQL code following best practices (version control, code reviews, testing)
Design and build robust, scalable data models using dbt and Snowflake
Enable self-service analytics by building reusable data products that reduce dependency on the data team
Contribute to improving data quality standards and governance practices across the team
Get up to speed with our data stack, business context, and team ways of working
Build strong relationships with key business stakeholders
Take ownership of initial projects and start delivering value independently
First 6 months:
Operate fully autonomously on your scope of business domains
Lead at least one cross-functional data project end-to-end
Actively contribute to self-service and data quality initiatives
First 12 months:
Be recognized as a strategic data partner by the business teams you support
Contribute meaningfully to the evolution of team processes and standards
Support junior team members and help raise the overall seniority of the team
Objectives are reviewed quarterly and combine both qualitative and quantitative metrics, aligned with the team's three strategic pillars.
What do you bring?
Experience:
5+ years of experience as a Data Analyst, ideally in a start-up or scale-up environment
Proven track record delivering complex analytics projects with measurable business impact
Must-have skills:
Outstanding communication and interpersonal skills — you know how to make data accessible to non-technical audiences and build strong relationships with business stakeholders
Strong project management skills — you can independently structure and drive long-term, multi-stakeholder data projects
Leadership mindset — you're comfortable driving change, supporting teams through transformation, and taking ownership
Technical proficiency: expert SQL (Snowflake is a plus), dbt or similar transformation tools, and strong experience with Tableau and/or Metabase
Business acumen — you understand the broader context behind the numbers and can translate requirements into analytical frameworks
Fluent in both French and English (the team is predominantly French-speaking)
Passion for code quality, scalability, and self-service analytics
Comfortable with ambiguity and fast-paced environments
Nice to have:
Experience in FinTech or financial services (transactional data, regulatory reporting)
Previous management or mentoring experience
Knowledge of Python or data quality frameworks
What do we offer?
Contract & benefits
Permanent contract (CDI)
Office location: Paris
Hybrid work policy: Approximately 3 days per week in the office. The team typically aligns on office days together (usually Tuesday and Thursday), with flexibility for individual needs.
Compensation: €60,000 to €65,000 gross annual salary
Swile meal card
Axa health insurance
Commuter benefits
RTT (extra paid days off)
Gymlib subscription
Paid parental leave
Grow at iBanFirst
Build deep expertise in the fast-growing FinTech/Paytech industry with a modern, cutting-edge data stack (Snowflake, dbt, Tableau/Metabase, Airflow, Catalog, Dust)
Grow your data analytics and business partnering skills in a scaling international company
Enjoy autonomy and ownership on impactful projects — your work directly influences strategic decisions across the company
Thrive in a multicultural environment, with 14 offices across Europe and colleagues from diverse backgrounds
Join a tight-knit, high-performing data team known for its great team spirit and genuine collaboration
Participate in company-wide events: team offsites, company parties, and regular social activities
Recruitment Process
1. Screening call with Malorie Petitjean (Talent Acquisition Specialist)
— 30 minutes – remote (video)
— Purpose: General fit, motivation, salary expectations, availability
2. In-depth interview with Fatimata Sall (Head of Data) + Alex B. (Senior Data Analyst)
— 1 hour – in-person (preferred)
— Purpose: Role-specific skills, business acumen, technical depth, collaboration style. Includes a live case discussion (no take-home assignment) to assess problem-solving approach and analytical thinking. Opportunity to meet part of the team informally.
Fondée en 2000, Ivalua est un leader mondial des solutions cloud de gestion des achats.
NOTRE ENTREPRISE
Chez Ivalua, nous sommes une communauté mondiale d'experts convaincus que la transformation numérique rend les chaînes d'approvisionnement plus durables et résilientes, tout en améliorant la collaboration avec les fournisseurs.
Et nous y parvenons grâce à notre plateforme cloud de gestion des dépenses, qui permet à des centaines de grandes marques de gérer leurs dépenses et leurs fournisseurs tout en optimisant leur rentabilité, leur performance ESG (Environnement, Sociale et Gouvernance), de réduire les risques et d’améliorer leur productivité.
Animés par nos passions et nourris par nos ambitions communes, nous nous donnons les moyens de relever les défis et de créer des expériences impactantes pour nos clients et notre écosystème partenaire, tout en donnant du sens à nos équipes.
Dans le cadre de notre forte croissance et dans la continuité de notre trajectoire d’innovation, nous renforçons l’équipe en charge du développement de notre module Sourcing. En tant que Software Engineer, vous aurez un rôle clé dans l’atteinte de nouveaux objectifs majeurs : migration de notre architecture front-end vers React/Typescript (refonte technique, refactoring important, création de nouveaux services API), et contribution directe à notre roadmap d’innovation (Agentic AI, développement de nouvelles fonctionnalités from scratch).
Au-delà de l’expertise technique, nous recherchons un profil doté d’excellentes compétences en communication, capable de construire un réseau interne solide et de faire preuve de curiosité et d’agilité pour comprendre les enjeux fonctionnels du domaine Sourcing.
RÔLE:
Vous intégrerez une équipe agile Scrum (sprint de 15 jours) composée de 6 développeurs, 2 technical leads, 1 dev lead, 2 QA, 2 Product Managers et 1 Solution Owner responsable du module. Sous la responsabilité directe du Lead Developer, vous collaborerez étroitement avec les Product Managers et le Solution Owner et autres départements (RUN, BUILD, Sales et d’autres équipes R&D).
L’équipe valorise l’ouverture, la collaboration et la co-construction avec les parties prenantes techniques et fonctionnelles.
CE QUE VOUS FEREZ CHEZ NOUS:
Concevoir et développer des fonctionnalités robustes et scalables pour le module Sourcing (C#/.NET Core, SQL Server).
Être moteur dans la migration de l’architecture front-end vers React/Typescript : refactoring à grande échelle et modernisation de la solution.
Concevoir et optimiser des API et services pour répondre aux besoins métiers et aux projets d’innovation
Travailler sur des bases de données volumineuses et complexes, en garantissant performance et fiabilité.
Collaborer étroitement avec les Product Managers, le Solution Owner et les autres développeurs pour transformer les besoins fonctionnels en solutions techniques.
S’impliquer activement dans les rituels agiles, les revues de code et le partage de connaissances.
S’approprier et approfondir la compréhension du domaine fonctionnel Sourcing afin de proposer des solutions innovantes et pertinentes.
VOTRE PROFIL
Si vous vous reconnaissez dans les points suivants, ce poste est fait pour vous :
Diplôme Bac+5 (ingénieur ou universitaire) en informatique ou équivalent.
A partir de 1 an d’expérience en développement d’applications web d’entreprise sur C#/.NET Core et SQL Server.
Maîtrise de la conception d’API et du développement de nouvelles fonctionnalités dans des environnements complexes et à fort volume de données.
Expérience significative sur les bases de données volumineuses : conception, procédures stockées, triggers, optimisation des performances.
Excellentes compétences en communication, capacité à créer du lien et à collaborer avec des interlocuteurs variés.
Curiosité et appétence pour la compréhension des enjeux fonctionnels et la traduction des besoins métiers en solutions techniques.
Pratique avérée du développement en équipe agile Scrum.
Nice to have : expérience de refactoring à grande échelle, React (ou autre framework front moderne), projets de migration d’architecture.
Anglais Fluent impératif.
CE QUI VOUS ATTEND ENSUITE
Si votre candidature correspond aux compétences souhaitées pour ce rôle, notre équipe de recrutement vous contactera pour planifier un premier échange téléphonique. Faites un pas de plus vers la réalisation de vos objectifs - postulez dès aujourd'hui !
Un recruteur dédié vous guidera à chaque étape du processus de recrutement. Nous sommes là pour vous accompagner!
Notre processus de recrutement est conçu pour évaluer vos compétences à travers une série d'entretiens personnalisés avec nos équipes. Les entretiens se dérouleront virtuellement et en personne dans nos locaux.
CE QUE VOUS TROUVEREZ CHEZ IVALUA
Un modèle “Hybride” (3 jours sur site, 2 jours en télétravail),
Nous sommes une équipe animée par l’envie de repousser les limites de l'innovation produit et technologique,
Société privée en constante croissance,
Une entreprise stable et rentable,
Chaque semaine, la possibilité de se retrouver tous ensemble autour d’un repas proposé par l’entreprise,
S’épanouir en poursuivant ses objectifs à travers un puissant état d’esprit d’équipe, propice à la créativité et productivité,
Révéler votre potentiel professionnel grâce à notre programme de formation et de développement de carrière,
Rallier une équipe dynamique et internationale composée d’experts dans leurs domaines, et collaborer avec des personnes passionnées par leur travail et guidées par une même vision,
Faites l'expérience d'un environnement de travail inclusif ouvert á la diversité, où votre contribution sera appréciée et valorisée,
Prenez part aux nombreux événements organisés dans le cadre de l’entreprise ( compétitions sportives, événements musicaux et team building),
Plébiscitée par ses collaborateurs, Ivalua a été nommée par la société Comparably (https://www.comparably.com/companies/ivalua) :
Portés par nos différences - Votre énergie est notre force !
Unis par nos valeurs, nous célébrons la diversité et l’équité dans toute leur étendue pour construire un environnement de travail inclusif. Pour aider nos clients à rendre leurs chaînes d’approvisionnement plus efficaces, durables et résilientes, nous comptons sur nos équipes internationales aux parcours, compétences et perspectives divers et variés. Nous croyons en l’égalité des opportunités et en la diversité comme moteurs d’innovation, favorisant un esprit d’inclusivité, un environnement de travail productif et agréable, et en offrant des perspectives de carrière épanouissantes pour tous les Ivaluans.
Explorez la culture Ivalua - visionnez cette vidéo pour en savoir plus !
Notre Team Digital Analytics recherche un·e Senior Data Scientist (f/m/d) basé·e à Paris ou Lille.
L'équipe Digital Analytics est le moteur de la décision basée sur la donnée pour l'Ecommerce de Decathlon. Composée d'experts en analytics, expérimentation et data science, notre mission est de transformer la donnée brute en leviers de croissance. Nous relevons des défis de personnalisation à l'échelle mondiale et d'optimisation du parcours client pour rendre le sport accessible au plus grand nombre. Rejoindre notre équipe, c'est intégrer un environnement stimulant où vos modèles ont un impact direct sur des millions d'utilisateurs.
TA FUTURE CONTRIBUTION
En tant que Senior Data Scientist, tu joues un rôle clé dans l'exploration des données et la création d'expériences produits intelligentes. Tes missions incluent :
Concevoir des solutions de Data Science & Analytics Avancée : Développer des modèles de Machine Learning (prédictifs et prescriptifs) pour résoudre des problématiques complexes liées à l'expérience client.
Piloter des cas d'usage de bout en bout : De la découverte du problème au déploiement et à l'optimisation continue, tu es garant·e de la pertinence et de la précision de tes solutions.
Explorer et identifier des opportunités : Analyser proactivement les comportements et tendances pour déceler des leviers d'impact majeurs.
Collaborer pour la mise en production : Travailler main dans la main avec les Product Managers et ingénieurs pour assurer la scalabilité et la fiabilité des solutions.
CE QUE TU APPORTES
Expertise End-to-End : Tu maîtrises tout le cycle de vie d'un projet data (feature engineering, modélisation, monitoring).
Culture Produit & Impact : Tu sais traduire des analyses complexes en recommandations actionnables pour le business.
Maîtrise de l'Expérimentation : Expérience solide en design et analyse de tests A/B ou multivariés.
Communication : Capacité à vulgariser des concepts techniques auprès de parties prenantes variées.
Matériel fourni en accord avec tes missions et nos engagements sociétaux (Mac ou Windows) ;
Une équipe de projet locale au sein d'un réseau mondial (possibilité de carrière internationale) ;
Développement des compétences et accompagnement (diversité des projets, formations internes et externes, etc.) ;
Package de rémunération (actionnariat salarié, bonus mensuels/trimestriels).
NOTRE ENGAGEMENT EN FAVEUR DE L'INCLUSION ET DE L'ACCESSIBILITE
Chez Decathlon, nous reconnaissons l'immense valeur qu'apporte la diversité à nos équipes et nous nous efforçons continuellement de favoriser et de cultiver un lieu de travail inclusif et équitable : c'est pourquoi l'Inclusion est l'un de nos Fondamentaux Humains. Nous encourageons les personnes de tous horizons et de toutes capacités à postuler, car nous sommes convaincu·es que la diversité des pensées, des cultures, des identités et des expériences vécues nous rend plus fort·es. Decathlon s'engage également à offrir un processus de sélection inclusif et accessible à tous les candidat·es. En cas de besoin d'aménagement, tu peux en faire la demande via le formulaire de candidature, celle-ci sera confidentielle. Ces demandes n'affectent pas le résultat du processus de recrutement.
DECATHLON DIGITAL
Imaginez si la technologie nous permettait de repousser les frontières et d'offrir des expériences sportives inédites. C'est précisément notre ambition chez Decathlon Digital ! Nous sommes une équipe de plus de 5 000 experts en ingénierie logicielle, gestion de produits, données, cloud et cybersécurité, répartis à Paris, Lille et Amsterdam. Ensemble, nous créons la plus vaste plateforme sportive numérique, en exploitant les innovations technologiques pour optimiser la chaîne de valeur, concevoir des expériences connectées et donner une seconde vie à nos produits.
Changeons la donne pour de bon. Notre passion du sport nous guide et nous voulons qu’elle perdure. C’est pourquoi nous nous engageons à bâtir un modèle technologique plus durable, en réduisant notre impact direct sur l'environnement, et en créant un espace sûr et inclusif pour apprendre et nous épanouir ensemble. Rejoins l’équipe et façonnons le futur du sport.
We are looking for a Senior Data Scientist (f/m/d) to join the Digital Analytics team within Ecommerce.
The Digital Analytics team enables data-informed decision-making across Decathlon ecommerce, driving faster and smarter outcomes. We go beyond descriptive analytics by combining advanced analytics, experimentation, and data science to both understand and shape customer behavior. By embedding these capabilities into our digital products, we power intelligent features, personalization, and continuous optimization at scale. By integrating data across the full product lifecycle, we ensure every feature and iteration delivers meaningful value for both users and the business.
As a Senior Data Scientist, you will play a key role in exploring data, generating insights, and building data-powered product experiences. You will partner closely with product managers, engineers, and analysts to apply predictive and prescriptive analytics, and develop models that directly impact customer experience and business performance.
This is a highly product-oriented role: we are looking for someone who combines strong analytical thinking with applied data science, and who has hands-on experience delivering solutions in real-world product environments. You should be comfortable moving from exploration and hypothesis generation to modeling and impact measurement, with a focus on delivering tangible outcomes in a product environment.
YOUR FUTURE CONTRIBUTION
As a Senior Data Scientist, you will play a key role in exploring data, generating insights, and building data-powered product experiences. You will partner closely with product managers, engineers, and analysts to apply predictive and prescriptive analytics, and develop models that directly impact customer experience and business performance.
Build data science & advanced analytics solutions: Develop machine learning models and apply predictive and prescriptive analytics to solve complex ecommerce and customer experience problems.
Own end-to-end use cases: Translate business and product requirements into clear data science approaches. Take full ownership from problem discovery to modeling, deployment, and ongoing refinement.
Explore & identify opportunities: Proactively analyze data to uncover customer behaviors, trends, and high-impact opportunities.
Collaborate to deliver in production: Partner closely with product and engineering to bring solutions live, ensuring scalability, reliability, and business impact.
WHAT YOU BRING
End-to-end Data Science Ownership: Experience across the entire lifecycle (discovery, feature engineering, modeling, experimentation, deployment).
Applied Data Science: Strong ability to apply statistical modeling and machine learning to real-world product problems like conversion optimization or personalization.
Product expertise: Experience working in product environments with a focus on optimizing customer journeys.
Technical Proficiency: Strong programming skills in Python (pandas, scikit-learn) and large-scale data tools (SQL, Spark).
Collaboration: Proven ability to partner with diverse stakeholders and communicate insights effectively.
At Decathlon, we recognize the immense value that diversity brings to our teams and we continuously strive to foster and cultivate an inclusive and equitable workplace: this is why Inclusion is one of our Human Fundamentals. We encourage people of all backgrounds and abilities to apply, as we are convinced that diversity of thoughts, cultures, identities and lived experiences makes us stronger. Decathlon is also committed to offering an inclusive and accessible selection process to all candidates. If you need adjustment, you can request it via the application form, it will be confidential. These requests do not affect the outcome of the recruitment process.
DECATHLON DIGITAL CONTEXT
What if technology allowed us to push the boundaries and take sports experiences to new levels? That's exactly our goal at Decathlon Digital! We are a team of 5,000+ experts in software engineering, product management, data, cloud, and cybersecurity, distributed across Paris, Lille, and Amsterdam. Together, we are creating the largest digital sports platform, leveraging tech innovation from design to value chain optimization, connected experiences and product second life.
Changing the game for good. We are in this for the love of sports. And like everything we love, we want it to last. That’s why we are embarking on a journey to create a more sustainable tech model, reducing our direct environmental impact while maintaining a safe, diverse, and inclusive space for all our people to learn and thrive together. Team up with us to design the digital future of sports.
Upsun is the cloud application platform humans and robots love. It is built for today’s hybrid teams, where AI agents write and test code and humans focus on solving the problems that really matter. Developers, DevOps engineers, and platform teams use Upsun to build, ship, and scale confidently without wrestling with backend infrastructure. We give you your time back. You get:
Predictable performance, even at scale
Secure, compliant environments by default
Real-time observability and profiling built in
Cloning, configuration, and provisioning in seconds
AI-ready features that plug directly into your stack
The name says it all. "Up" means uptime, reliability, and acceleration. "Sun" reflects our follow-the-sun-support, a 24x7, globally distributed support team keeping the lights on while you rest. Our core belief is that software should power brighter solutions and greater innovation.
Upsunners are a remote, global workforce, and we thrive in a multicultural team. We are committed to open source and an open, welcoming environment. Our team spans the globe and the experience spectrum.
What's our commonality, our cultural fabric? A curious spirit and a thirst for knowledge; an eagerness for innovative ideas and cultures. We believe we can build anything together in an environment that frees you to do your best work.
Our values:
🌿 We make a positive impact.
✨ We aim for the stars.
💚 We care for each other.
Impact of an Analytics Engineer
Working at the intersection of data engineering and business logic, you will play a critical role in the Data Science and Engineering Department at Upsun. By transforming vast amounts of raw platform events and business data into high-quality metrics, you enable deeper insights into our customers and internal operations. You serve as a strategic advisor to both technical and non-technical teams, ensuring that data-driven decision-making is accessible, performant, and reliable across the entire organization. Your work directly influences how we build our products and scale our global infrastructure.
What to expect
Data Modeling and Design: You will implement models that transform raw data into useful metrics and comprehensive data products.
Cross-Functional Collaboration: You will partner with various teams to gather requirements, align methodologies, and advocate for best practices in data consumption.
Scalable Solutions: You will manage data at various scales, including petabyte-level datasets, using efficient and performant techniques.
Operational Efficiency: You will improve our codebase and processes by delivering repeatable, well-documented solutions.
Strategic Advisory: You will help business units understand the impact of specific metrics and the cascading effects on product components.
Global Remote Culture: You will work within a multicultural, remote-first environment that values curiosity and a thirst for knowledge.
What you bring
SQL and DBT Expertise: You have experience building and maintaining data models within a production environment.
Python Familiarity: You are comfortable with Python development for data-related tasks.
Cloud Data Warehousing: You are familiar with GCP or AWS services such as BigQuery, Redshift, or Athena.
ETL/ELT Knowledge: You understand which methodologies are best suited for different data scales and business needs.
Analytical Curiosity: You possess a natural drive to explore data, standardize it, and solve complex business challenges.
Data Visualization Skills: You have experience using tools like Metabase or Hex to create clear and actionable data products.
Infrastructure and Tooling: You are familiar with ingestion tools like Fivetran and reverse ETL workflows using Hightouch.
Version Control: You have prior experience using Git to manage your code and collaborate with others.
Critical Thinking: You can effectively weigh the tradeoffs of different technical approaches to find the best solution.
Bonus
Familiarity with continuous integration and continuous delivery pipelines (CI/CD).
Prior experience working with FinOps principles or FOCUS data models.
Broader experience with various cloud infrastructure and service offerings.
Where we hire
At Upsun, remote work isn't just a trend - it's our foundation. The freedom of remote work with the support of a diverse, global team has been our successful model for over a decade. Our culture celebrates flexibility and collaboration, and while we have team members in over 30 countries around the globe, we are currently focused on hiring for this role in France, Germany, Spain, and the United Kingdom. Although we’re unable to provide visa sponsorship at this time, we welcome applications from all qualified candidates who are legally authorized to work in these countries.
How we hire
We know that a great hire won’t meet every requirement that we’ve outlined. If you can see yourself elevating the team, we want to hear your story. Few of us would be here had we not taken a chance.
You can expect 4 interviews on Google Meet to follow the order below. Should you successfully move through the entire process you will have the opportunity to meet with a variety of Upsunners. Our goal is to ensure you can make the most informed decision on whether this role, and our culture aligns with what you’re looking for in your future working environment.
45 Minutes with Talent Acquisition
60 Minutes with Hiring Manager (Director, Data Engineering and Data Science)
60 Minutes with Team (ICs)
45 Minutes with Executive (CFO)
All roles require background checks.
What we offer
💡 A product you can believe in - Join us in transforming how businesses build and manage web applications, driven making a positive impact as a proud B Corp.
🏆 An Award-Winning Workplace - We’ve been recognized by Forbes’ Top 30 Companies for Remote Jobs and France’s Best Workplaces for Women.
🗣️ A culture that values your voice - Join a flexible, open, and inclusive work environment where your voice is encouraged, and your ideas shape our growth and evolution.
🌎 A global team - Collaborate with colleagues from diverse backgrounds across the world, embracing different perspectives
🎉 Benefits and perks - Make the most of what matters to you
🏝 Flexible PTO
🩺 Comprehensive healthcare coverage (UK, Canada, France, Spain)
📈 Company stock options
🧠 Professional development budget
💻 Office equipment budget
💆♀️ Wellness budget
🧳 Annual team gatherings
🛜 Internet reimbursement
👶 Inclusive parental leave
✈️ Remote work travel program
You belong here
At Upsun, we celebrate diversity in all its forms and are committed to fostering an inclusive, equitable, and supportive workplace where everyone can thrive. We embrace and value different perspectives, backgrounds, and experiences, because they make us stronger as a team. Whoever you are, wherever you're from, and whatever path you've taken, you are welcome here. We encourage you to bring your whole self to work, connect with others, and share your passion. If you need accommodations at any stage of our hiring process, please let us know. We're here to ensure an accessible and comfortable experience for you.
Upsun is the cloud application platform humans and robots love. It is built for today’s hybrid teams, where AI agents write and test code and humans focus on solving the problems that really matter. Developers, DevOps engineers, and platform teams use Upsun to build, ship, and scale confidently without wrestling with backend infrastructure. We give you your time back. You get:
Predictable performance, even at scale
Secure, compliant environments by default
Real-time observability and profiling built in
Cloning, configuration, and provisioning in seconds
AI-ready features that plug directly into your stack
The name says it all. "Up" means uptime, reliability, and acceleration. "Sun" reflects our follow-the-sun-support, a 24x7, globally distributed support team keeping the lights on while you rest. Our core belief is that software should power brighter solutions and greater innovation.
Upsunners are a remote, global workforce, and we thrive in a multicultural team. We are committed to open source and an open, welcoming environment. Our team spans the globe and the experience spectrum.
What's our commonality, our cultural fabric? A curious spirit and a thirst for knowledge; an eagerness for innovative ideas and cultures. We believe we can build anything together in an environment that frees you to do your best work.
Our values:
🌿 We make a positive impact.
✨ We aim for the stars.
💚 We care for each other.
Impact of an Analytics Engineer
Working at the intersection of data engineering and business logic, you will play a critical role in the Data Science and Engineering Department at Upsun. By transforming vast amounts of raw platform events and business data into high-quality metrics, you enable deeper insights into our customers and internal operations. You serve as a strategic advisor to both technical and non-technical teams, ensuring that data-driven decision-making is accessible, performant, and reliable across the entire organization. Your work directly influences how we build our products and scale our global infrastructure.
What to expect
Data Modeling and Design: You will implement models that transform raw data into useful metrics and comprehensive data products.
Cross-Functional Collaboration: You will partner with various teams to gather requirements, align methodologies, and advocate for best practices in data consumption.
Scalable Solutions: You will manage data at various scales, including petabyte-level datasets, using efficient and performant techniques.
Operational Efficiency: You will improve our codebase and processes by delivering repeatable, well-documented solutions.
Strategic Advisory: You will help business units understand the impact of specific metrics and the cascading effects on product components.
Global Remote Culture: You will work within a multicultural, remote-first environment that values curiosity and a thirst for knowledge.
What you bring
SQL and DBT Expertise: You have experience building and maintaining data models within a production environment.
Python Familiarity: You are comfortable with Python development for data-related tasks.
Cloud Data Warehousing: You are familiar with GCP or AWS services such as BigQuery, Redshift, or Athena.
ETL/ELT Knowledge: You understand which methodologies are best suited for different data scales and business needs.
Analytical Curiosity: You possess a natural drive to explore data, standardize it, and solve complex business challenges.
Data Visualization Skills: You have experience using tools like Metabase or Hex to create clear and actionable data products.
Infrastructure and Tooling: You are familiar with ingestion tools like Fivetran and reverse ETL workflows using Hightouch.
Version Control: You have prior experience using Git to manage your code and collaborate with others.
Critical Thinking: You can effectively weigh the tradeoffs of different technical approaches to find the best solution.
Bonus
Familiarity with continuous integration and continuous delivery pipelines (CI/CD).
Prior experience working with FinOps principles or FOCUS data models.
Broader experience with various cloud infrastructure and service offerings.
Where we hire
At Upsun, remote work isn't just a trend - it's our foundation. The freedom of remote work with the support of a diverse, global team has been our successful model for over a decade. Our culture celebrates flexibility and collaboration, and while we have team members in over 30 countries around the globe, we are currently focused on hiring for this role in France, Germany, Spain, and the United Kingdom. Although we’re unable to provide visa sponsorship at this time, we welcome applications from all qualified candidates who are legally authorized to work in these countries.
How we hire
We know that a great hire won’t meet every requirement that we’ve outlined. If you can see yourself elevating the team, we want to hear your story. Few of us would be here had we not taken a chance.
You can expect 4 interviews on Google Meet to follow the order below. Should you successfully move through the entire process you will have the opportunity to meet with a variety of Upsunners. Our goal is to ensure you can make the most informed decision on whether this role, and our culture aligns with what you’re looking for in your future working environment.
45 Minutes with Talent Acquisition
60 Minutes with Hiring Manager (Director, Data Engineering and Data Science)
60 Minutes with Team (ICs)
45 Minutes with Executive (CFO)
All roles require background checks.
What we offer
💡 A product you can believe in - Join us in transforming how businesses build and manage web applications, driven making a positive impact as a proud B Corp.
🏆 An Award-Winning Workplace - We’ve been recognized by Forbes’ Top 30 Companies for Remote Jobs and France’s Best Workplaces for Women.
🗣️ A culture that values your voice - Join a flexible, open, and inclusive work environment where your voice is encouraged, and your ideas shape our growth and evolution.
🌎 A global team - Collaborate with colleagues from diverse backgrounds across the world, embracing different perspectives
🎉 Benefits and perks - Make the most of what matters to you
🏝 Flexible PTO
🩺 Comprehensive healthcare coverage (UK, Canada, France, Spain)
📈 Company stock options
🧠 Professional development budget
💻 Office equipment budget
💆♀️ Wellness budget
🧳 Annual team gatherings
🛜 Internet reimbursement
👶 Inclusive parental leave
✈️ Remote work travel program
You belong here
At Upsun, we celebrate diversity in all its forms and are committed to fostering an inclusive, equitable, and supportive workplace where everyone can thrive. We embrace and value different perspectives, backgrounds, and experiences, because they make us stronger as a team. Whoever you are, wherever you're from, and whatever path you've taken, you are welcome here. We encourage you to bring your whole self to work, connect with others, and share your passion. If you need accommodations at any stage of our hiring process, please let us know. We're here to ensure an accessible and comfortable experience for you.
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
The Community You Will Be Part Of:
Airbnb, a leader in travel and hospitality, is on a mission to create a world where anyone can belong anywhere. We offer unique accommodations and experiences, crafted and curated by locals. As we expand into new marketplaces for in-person experiences and services, we are on the lookout for driven and innovative individuals to help shape our growth trajectory.
The Difference You Will Make:
This Advanced Analytics role will develop and lead initiatives focused on ensuring we have the right international growth strategy. They will lead measurement, build tools, and develop insights leveraging a wide range of internal and external data sources to ensure the business is making the right decisions for both strategic direction and tactical execution.
The ideal candidate is someone with a strong data and analytics background. This person is curious, engaged, positive, and detail- and solutions-oriented. The world— and thus our industry— is changing quickly so the ideal candidate will be comfortable with responding promptly and changing course as needed when priorities and reporting needs shift.
This role will be expected to be highly collaborative, and work regularly with multiple stakeholders and cross functional partners across Regional Teams, Policy, Supply, Finance, Data Science, Operations, Engineering, and Marketing.
The right candidate will already be recognized as a leader in the data and analytics field at this level, with a proven track record of using a range of strategies and disciplines to solve complex and ambiguous measurement problems for business teams. This person will also use their considerable experience with data and insights storytelling to influence large-scale strategic programs, and be adept at leveraging AI technologies to accelerate and raise their craft.
You must be comfortable working in a global company, delivering counsel and guidance to senior leadership across the team and organization. The successful candidate will have solid experience creating internal advocacy and influencing multiple senior audiences on hard to communicate topics.
The Team You Will Join:
The Global Markets & Policy Advanced Analytics team is building the data infrastructure, measurement systems, and self-service tools that will power Airbnb's international growth in 2026 and beyond. This is a greenfield opportunity to shape how global teams make nimbler decisions, moving from HQ-dependent reporting cycles to fast, local, data-driven action.
This role will partner directly with Global Markets regional teams combined with Finance and Supply to surface local insights, build scalable tooling, and drive measurable impact on core business metrics. The ideal candidate brings deep technical rigor, strong business instincts, and a bias toward proactively building things—not just analyzing them.
A Typical Day:
Build and maintain self-service analytics tools and dashboards that help country teams monitor performance and act on local signals
Partner with regional leads to translate business questions into clear analytical frameworks and actionable insights
Support measurement for local marketing programs — campaign tracking, incrementality testing, and MMM contributions
Analyze international market data to identify and size growth opportunities across supply, demand, and behavioral signals
Collaborate with Engineering, Marketing, and Research to deliver on data and tooling needs within shared roadmaps
Provide analytical support for local growth levers (incentives, promotions, merchandising) including targeting and measurement
Your Expertise:
4+ years in data science, analytics, or business intelligence — marketplace, e-commerce, or global consumer tech preferred
Expert SQL; proficiency in Python or R
Hands-on experience with A/B testing, causal inference, and incrementality measurement
Experience building self-service data products used by non-technical stakeholders
Familiarity with international / multi-market analytics contexts
Strong data storytelling — able to communicate findings clearly to business and senior audiences
Collaborative, low-ego, and execution-oriented; you measure success by the decisions your work influences
Comfortable with modern data stack tools (dbt, Airflow, Tableau, Looker, or equivalent)
Familiarity with MMM, attribution, or campaign measurement frameworks
Awareness of AI/LLM trends and implications for organic traffic and demand
Our Commitment To Inclusion & Belonging:
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.
How We'll Take Care of You:
Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range shown below is annualized, is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
The Community You Will Be Part Of:
Airbnb, a leader in travel and hospitality, is on a mission to create a world where anyone can belong anywhere. We offer unique accommodations and experiences, crafted and curated by locals. As we expand into new marketplaces for in-person experiences and services, we are on the lookout for driven and innovative individuals to help shape our growth trajectory.
The Difference You Will Make:
This Advanced Analytics role will develop and lead initiatives focused on ensuring we have the right international growth strategy. They will lead measurement, build tools, and develop insights leveraging a wide range of internal and external data sources to ensure the business is making the right decisions for both strategic direction and tactical execution.
The ideal candidate is someone with a strong data and analytics background. This person is curious, engaged, positive, and detail- and solutions-oriented. The world— and thus our industry— is changing quickly so the ideal candidate will be comfortable with responding promptly and changing course as needed when priorities and reporting needs shift.
This role will be expected to be highly collaborative, and work regularly with multiple stakeholders and cross functional partners across Regional Teams, Policy, Supply, Finance, Data Science, Operations, Engineering, and Marketing.
The right candidate will already be recognized as a leader in the data and analytics field at this level, with a proven track record of using a range of strategies and disciplines to solve complex and ambiguous measurement problems for business teams. This person will also use their considerable experience with data and insights storytelling to influence large-scale strategic programs, and be adept at leveraging AI technologies to accelerate and raise their craft.
You must be comfortable working in a global company, delivering counsel and guidance to senior leadership across the team and organization. The successful candidate will have solid experience creating internal advocacy and influencing multiple senior audiences on hard to communicate topics.
The Team You Will Join:
The Global Markets & Policy Advanced Analytics team is building the data infrastructure, measurement systems, and self-service tools that will power Airbnb's international growth in 2026 and beyond. This is a greenfield opportunity to shape how global teams make nimbler decisions, moving from HQ-dependent reporting cycles to fast, local, data-driven action.
This role will partner directly with Global Markets regional teams combined with Finance and Supply to surface local insights, build scalable tooling, and drive measurable impact on core business metrics. The ideal candidate brings deep technical rigor, strong business instincts, and a bias toward proactively building things—not just analyzing them.
A Typical Day:
Build and maintain self-service analytics tools and dashboards that help country teams monitor performance and act on local signals
Partner with regional leads to translate business questions into clear analytical frameworks and actionable insights
Support measurement for local marketing programs — campaign tracking, incrementality testing, and MMM contributions
Analyze international market data to identify and size growth opportunities across supply, demand, and behavioral signals
Collaborate with Engineering, Marketing, and Research to deliver on data and tooling needs within shared roadmaps
Provide analytical support for local growth levers (incentives, promotions, merchandising) including targeting and measurement
Your Expertise:
4+ years in data science, analytics, or business intelligence — marketplace, e-commerce, or global consumer tech preferred
Expert SQL; proficiency in Python or R
Hands-on experience with A/B testing, causal inference, and incrementality measurement
Experience building self-service data products used by non-technical stakeholders
Familiarity with international / multi-market analytics contexts
Strong data storytelling — able to communicate findings clearly to business and senior audiences
Collaborative, low-ego, and execution-oriented; you measure success by the decisions your work influences
Comfortable with modern data stack tools (dbt, Airflow, Tableau, Looker, or equivalent)
Familiarity with MMM, attribution, or campaign measurement frameworks
Awareness of AI/LLM trends and implications for organic traffic and demand
Our Commitment To Inclusion & Belonging:
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.
How We'll Take Care of You:
Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range shown below is annualized, is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
Founded in 2012, Mirakl has been at the forefront of marketplace innovation, empowering every business to compete in the platform economy.
Today, Mirakl’s operating system combines an enterprise marketplace solution (Mirakl Platform) that enables retailers and B2B organizations to launch, scale, and operate marketplaces and dropship, AI-powered multichannel selling (Mirakl Connect), retail media (Mirakl Ads) and an agentic commerce infrastructure (Mirakl Nexus).
With dual headquarters in Boston and Paris, Mirakl helps a global ecosystem of 450+ marketplaces (B2C and B2B) and a network of over 100k third-party marketplace sellers. Brands like Macy’s, Decathlon, Carrefour, Asos, and Airbus Helicopters use Mirakl to grow their businesses in new and remarkable ways.
👥 750+ employees in 9 offices worldwide: Paris, Barcelona, Bordeaux, Boston, London, Munich, New York, Sydney, Tokyo
Our Values:
Working at Mirakl means accelerating your career alongside ambitious, passionate, and supportive colleagues. We're proud of the diversity of backgrounds, perspectives, and experiences that make our teams unique.
Our 5 values guide how we collaborate:
💡 Work Hard Together: Teamwork and collaboration are the foundation of our success
🏆 Get Things Done: We prioritize action and efficiency for impactful results
🚀 Go Above & Beyond: We tackle challenges proactively and always aim for excellence
🎓 Succeed Through Expertise: Knowledge sharing and continuous learning are core to our culture
You'll be part of our 6-person team based in Paris. Together, we'll be transforming raw data into the insights and intelligence that fuel Mirakl's next phase of growth—from product strategy to AI-driven workflows, everything we build needs a rock-solid data foundation.
The team balances autonomy with collaboration, and we make time for team moments because the best work happens when you actually know the people you're building with. Expect daily stand-ups and bi-weekly syncs at the team level, regular 1:1s with your mentor and manager for personalized support, and monthly all-hands and quarterly kick-offs to connect your work to Mirakl's bigger picture.
Your Impact
This isn't a "maintain the status quo" role, it's a chance to shape how data flows through the entire organization.
Partner with product and business stakeholders to understand needs and ensure data products deliver actionable value
Develop data models and comprehensive semantic layer documentation to convert raw data into analytics-ready datasets
Build and maintain dashboards guaranteeing reliable access to critical performance indicators
Develop and support agentic analytical solutions, empowering users to independently discover insights and optimize workflows
Drive adoption of analytics solutions through user training, responsive support, and incident resolution
What You'll Bring to the Role
Experience:
You're looking for a 6-month internship starting in September 2026
You're pursuing a Master's degree (Bac +4/+5) in Data Science, Statistics, Computer Science, or a related field
Proficiency in SQL for data manipulation and transformation of very large datasets
Solid understanding of data modeling concepts and techniques (e.g., star schemas, normalization)
Experience with forecasting and statistical analysis techniques
Skills:
Data visualization with tools like Metabase, Superset, or Tableau
Strong problem-solving skills and attention to detail
Ability to work in a fast-paced environment
Excellent communication skills to work with technical and non-technical stakeholders
Python for analytics and automation
nice to have: dbt, AI-powered/agentic tools
Tech Stack
Data platform:Databricks
Data visualization: Metabase, Superset
Programming: SQL, Python
Modeling: dbt
AI: Dust, Claude, N8N
Version control & CI/CD: Modern analytics engineering workflows
Languages
Fluent in French and English
Compensation
Pay Range: €1,200 - €1,600 per month (depending on profile)
Benefits:
A workplace that promotes well-being and balance: breakfasts, sports and yoga classes, after-work drinks, game nights
A tailor-made onboarding process to quickly acquire skills
Empowering and evolving responsibilities to make the most of this experience
A unique opportunity to discover a fast-growing French unicorn and work with international teams
Access to our CSE discounts (ticketing, etc.)
A healthy mind in a healthy body: take time for yourself with the Gymlib pass
Modern offices in the heart of Paris (at the foot of the Eiffel Tower)
Swile meal vouchers card
Coverage of transportation costs (50% Navigo pass, bike, etc.)
Our Hiring Process
We warmly encourage you to apply to any of our roles, even if you think you're not an exact match.
Please click the "Apply" button to submit your application, this helps us make the best possible assessment and get back to you as quickly as possible.
Manual screening of your CV by a recruiter and then an AI-powered screening conversation (20 min) with Emma, Mirakl's AI Talent Ambassador to explore your background and motivation for the role. You will need to complete this step within 3 days, otherwise we won't be able to move forward with your application.
An initial call with the recruiter
Case study + debrief with your future colleagues
Values interview with your future manager
The STAR method and structured interviews will hold no secrets for you.
We welcome collaborators with their diverse perspectives and experiences to power us forward. These often far exceed conventional job requirements and help us create a culture of continuous learning. If you’re ready to join a global leader powering digital transformation for 450+ of the world’s most innovative retailers and B2B organizations.
We may use Artificial Intelligence (AI) solutions to help streamline our hiring process, including screening applications, analyzing resumes, and assessing responses. While AI helps us work efficiently, all final hiring decisions are made by humans. For more information, visit our AI Guidelines for Candidates and Interviews.
Founded in 2012, Mirakl has been at the forefront of marketplace innovation, empowering every business to compete in the platform economy.
Today, Mirakl’s operating system combines an enterprise marketplace solution (Mirakl Platform) that enables retailers and B2B organizations to launch, scale, and operate marketplaces and dropship, AI-powered multichannel selling (Mirakl Connect), retail media (Mirakl Ads) and an agentic commerce infrastructure (Mirakl Nexus).
With dual headquarters in Boston and Paris, Mirakl helps a global ecosystem of 450+ marketplaces (B2C and B2B) and a network of over 100k third-party marketplace sellers. Brands like Macy’s, Decathlon, Carrefour, Asos, and Airbus Helicopters use Mirakl to grow their businesses in new and remarkable ways.
👥 750+ employees in 9 offices worldwide: Paris, Barcelona, Bordeaux, Boston, London, Munich, New York, Sydney, Tokyo
Our Values:
Working at Mirakl means accelerating your career alongside ambitious, passionate, and supportive colleagues. We're proud of the diversity of backgrounds, perspectives, and experiences that make our teams unique.
Our 5 values guide how we collaborate:
💡 Work Hard Together: Teamwork and collaboration are the foundation of our success
🏆 Get Things Done: We prioritize action and efficiency for impactful results
🚀 Go Above & Beyond: We tackle challenges proactively and always aim for excellence
🎓 Succeed Through Expertise: Knowledge sharing and continuous learning are core to our culture
You'll be part of our 6-person team based in Paris. Together, we'll be transforming raw data into the insights and intelligence that fuel Mirakl's next phase of growth—from product strategy to AI-driven workflows, everything we build needs a rock-solid data foundation.
The team balances autonomy with collaboration, and we make time for team moments because the best work happens when you actually know the people you're building with. Expect daily stand-ups and bi-weekly syncs at the team level, regular 1:1s with your mentor and manager for personalized support, and monthly all-hands and quarterly kick-offs to connect your work to Mirakl's bigger picture.
Your Impact
This isn't a "maintain the status quo" role, it's a chance to shape how data flows through the entire organization.
Partner with product and business stakeholders to understand needs and ensure data products deliver actionable value
Develop data models and comprehensive semantic layer documentation to convert raw data into analytics-ready datasets
Build and maintain dashboards guaranteeing reliable access to critical performance indicators
Develop and support agentic analytical solutions, empowering users to independently discover insights and optimize workflows
Drive adoption of analytics solutions through user training, responsive support, and incident resolution
What You'll Bring to the Role
Experience:
You're looking for a 6-month internship starting in September 2026
You're pursuing a Master's degree (Bac +4/+5) in Data Science, Statistics, Computer Science, or a related field
Proficiency in SQL for data manipulation and transformation of very large datasets
Solid understanding of data modeling concepts and techniques (e.g., star schemas, normalization)
Experience with forecasting and statistical analysis techniques
Skills:
Data visualization with tools like Metabase, Superset, or Tableau
Strong problem-solving skills and attention to detail
Ability to work in a fast-paced environment
Excellent communication skills to work with technical and non-technical stakeholders
Python for analytics and automation
nice to have: dbt, AI-powered/agentic tools
Tech Stack
Data platform:Databricks
Data visualization: Metabase, Superset
Programming: SQL, Python
Modeling: dbt
AI: Dust, Claude, N8N
Version control & CI/CD: Modern analytics engineering workflows
Languages
Fluent in French and English
Compensation
Pay Range: €1,200 - €1,600 per month (depending on profile)
Benefits:
A workplace that promotes well-being and balance: breakfasts, sports and yoga classes, after-work drinks, game nights
A tailor-made onboarding process to quickly acquire skills
Empowering and evolving responsibilities to make the most of this experience
A unique opportunity to discover a fast-growing French unicorn and work with international teams
Access to our CSE discounts (ticketing, etc.)
A healthy mind in a healthy body: take time for yourself with the Gymlib pass
Modern offices in the heart of Paris (at the foot of the Eiffel Tower)
Swile meal vouchers card
Coverage of transportation costs (50% Navigo pass, bike, etc.)
Our Hiring Process
We warmly encourage you to apply to any of our roles, even if you think you're not an exact match.
Please click the "Apply" button to submit your application, this helps us make the best possible assessment and get back to you as quickly as possible.
Manual screening of your CV by a recruiter and then an AI-powered screening conversation (20 min) with Emma, Mirakl's AI Talent Ambassador to explore your background and motivation for the role. You will need to complete this step within 3 days, otherwise we won't be able to move forward with your application.
An initial call with the recruiter
Case study + debrief with your future colleagues
Values interview with your future manager
The STAR method and structured interviews will hold no secrets for you.
We welcome collaborators with their diverse perspectives and experiences to power us forward. These often far exceed conventional job requirements and help us create a culture of continuous learning. If you’re ready to join a global leader powering digital transformation for 450+ of the world’s most innovative retailers and B2B organizations.
We may use Artificial Intelligence (AI) solutions to help streamline our hiring process, including screening applications, analyzing resumes, and assessing responses. While AI helps us work efficiently, all final hiring decisions are made by humans. For more information, visit our AI Guidelines for Candidates and Interviews.
Founded in 2012, Mirakl has been at the forefront of marketplace innovation, empowering every business to compete in the platform economy.
Today, Mirakl’s operating system combines an enterprise marketplace solution (Mirakl Platform) that enables retailers and B2B organizations to launch, scale, and operate marketplaces and dropship, AI-powered multichannel selling (Mirakl Connect), retail media (Mirakl Ads) and an agentic commerce infrastructure (Mirakl Nexus).
With dual headquarters in Boston and Paris, Mirakl helps a global ecosystem of 450+ marketplaces (B2C and B2B) and a network of over 100k third-party marketplace sellers. Brands like Macy’s, Decathlon, Carrefour, Asos, and Airbus Helicopters use Mirakl to grow their businesses in new and remarkable ways.
👥 750+ employees in 9 offices worldwide: Paris, Barcelona, Bordeaux, Boston, London, Munich, New York, Sydney, Tokyo
Our Values:
Working at Mirakl means accelerating your career alongside ambitious, passionate, and supportive colleagues. We're proud of the diversity of backgrounds, perspectives, and experiences that make our teams unique.
Our 5 values guide how we collaborate:
💡 Work Hard Together: Teamwork and collaboration are the foundation of our success
🏆 Get Things Done: We prioritize action and efficiency for impactful results
🚀 Go Above & Beyond: We tackle challenges proactively and always aim for excellence
🎓 Succeed Through Expertise: Knowledge sharing and continuous learning are core to our culture
You'll be part of our 6-person Analytics Engineering team based in Paris. Together, we'll be transforming raw data into the insights and intelligence that fuel Mirakl's next phase of growth—from product strategy to AI-driven workflows, everything we build needs a rock-solid data foundation.
The team balances autonomy with collaboration, and we make time for team moments because the best work happens when you actually know the people you're building with. Expect daily stand-ups and bi-weekly syncs at the team level, regular 1:1s with your mentor and manager for personalized support, and monthly all-hands and quarterly kick-offs to connect your work to Mirakl's bigger picture.
Your Impact
This isn't a "maintain the status quo" role, it's a chance to shape how data flows through the entire organization.
Partner with product and business stakeholders to understand needs and ensure data products deliver actionable value
Develop data models and comprehensive semantic layer documentation to convert raw data into analytics-ready datasets
Build and maintain dashboards guaranteeing reliable access to critical performance indicators
Develop and support agentic analytical solutions, empowering users to independently discover insights and optimize workflows
Drive adoption of analytics solutions through user training, responsive support, and incident resolution
What You'll Bring to the Role
Experience:
You're looking for a 6-month internship starting in September 2026
You're pursuing a Master's degree (Bac +4/+5) in Data Science, Statistics, Computer Science, or a related field
Proficiency in SQL for data manipulation and transformation of very large datasets
Solid understanding of data modeling concepts and techniques (e.g., star schemas, normalization)
Experience with forecasting and statistical analysis techniques
Skills:
Data visualization with tools like Metabase, Superset, or Tableau
Strong problem-solving skills and attention to detail
Ability to work in a fast-paced environment
Excellent communication skills to work with technical and non-technical stakeholders
Python for analytics and automation
nice to have: dbt, AI-powered/agentic tools
Tech Stack
Data platform:Databricks
Data visualization: Metabase, Superset
Programming: SQL, Python
Modeling: dbt
AI: Dust, Claude, N8N
Version control & CI/CD: Modern analytics engineering workflows
Languages
Fluent in French and English
Compensation
Pay Range: €1,200 - €1,600 per month (depending on profile)
Benefits:
A workplace that promotes well-being and balance: breakfasts, sports and yoga classes, after-work drinks, game nights
A tailor-made onboarding process to quickly acquire skills
Empowering and evolving responsibilities to make the most of this experience
A unique opportunity to discover a fast-growing French unicorn and work with international teams
Access to our CSE discounts (ticketing, etc.)
A healthy mind in a healthy body: take time for yourself with the Gymlib pass
Modern offices in the heart of Paris (at the foot of the Eiffel Tower)
Swile meal vouchers card
Coverage of transportation costs (50% Navigo pass, bike, etc.)
Our Hiring Process
We warmly encourage you to apply to any of our roles, even if you think you're not an exact match.
Please click the "Apply" button to submit your application, this helps us make the best possible assessment and get back to you as quickly as possible.
Manual screening of your CV by a recruiter and then an AI-powered screening conversation (20 min) with Emma, Mirakl's AI Talent Ambassador to explore your background and motivation for the role. You will need to complete this step within 3 days, otherwise we won't be able to move forward with your application.
An initial call with the recruiter
Case study + debrief with your future colleagues
Values interview with your future manager
The STAR method and structured interviews will hold no secrets for you.
We welcome collaborators with their diverse perspectives and experiences to power us forward. These often far exceed conventional job requirements and help us create a culture of continuous learning. If you’re ready to join a global leader powering digital transformation for 450+ of the world’s most innovative retailers and B2B organizations.
We may use Artificial Intelligence (AI) solutions to help streamline our hiring process, including screening applications, analyzing resumes, and assessing responses. While AI helps us work efficiently, all final hiring decisions are made by humans. For more information, visit our AI Guidelines for Candidates and Interviews.
dbt Labs is the pioneer of analytics engineering, helping data teams transform raw data into reliable, actionable insights. Since 2016, we’ve grown from an open source project into the leading analytics engineering platform, now used by over 90,000 teams every week, driving data transformations and AI use cases.
As of February 2025, we’ve surpassed $100 million in annual recurring revenue (ARR) and serve more than 5,400 dbt Platform customers, including AstraZeneca, Sky, Nasdaq, Volvo, JetBlue, and SafetyCulture.
We’re backed by top-tier investors including Andreessen Horowitz, Sequoia Capital, and Altimeter. At our core, we believe in empowering data practitioners:
Reliable, high-quality data is the fuel that propels AI-powered data engineering.
AI is changing data work, fast. dbt’s data control plane keeps data engineers ahead of that curve.
We empower engineers to deliver reliable, governed data faster, cheaper, and at scale.
dbt Labs is now synonymous with analytics engineering, defining the modern data stack and serving as the data control plane for enterprise teams around the world. And we’re just getting started.. We’re growing fast and building a team of passionate, curious people across the globe. Learn more about what makes us special by checking out our values.
About the role:
As an Enterprise Account Executive, you will be responsible for growing and managing our enterprise customer base. The ideal person will have a hunter mindset and be a proactive and curious member of our growing Sales team, identifying new business with prospects and growth opportunities for clients. A certain level of foresight and knowledge working with intrinsic sales cycles will take this individual confidently into the future of dbt Labs. This person will be located in France.
In this role, you can expect to:
Build, manage and close your own pipeline of companies that you believe will benefit from the dbt Cloud offering
Manage, and deepen the dbt Cloud footprint in existing accounts, optimizing our impact on these companies
Engage with technology partners and ecosystem service providers to optimize our impact and reach in the region
Lead and contribute to team projects that develop our sales process
Work with product to build and maintain the dbt Cloud enterprise roadmap
We’re looking for someone who has:
Demonstrable ability of building and closing your own pipeline within enterprise accounts.
4+ years closing experience in technology sales, with a proven track record of exceeding annual targets.
Ability to understand complex technical concepts and develop them into a consultative sale
Excellent verbal, written, and in-person communication skills to engage stakeholders at all levels of an analytics organization (individual developer up to CTO)
The diligence and organizational skills to work long, intricate sales cycles involving multiple client teams
Ability to operate in an ambiguous and fast-paced work environment
A passion for being an inclusive teammate and involved member of the community
Experience with SQL or willingness to learn
You have an edge if you have:
Prior experience in analytics, ETL, BI, and/or open-sourced software
Knowledge of or prior experience with dbt
Compensation
We offer competitive compensation packages commensurate with experience, including salary, RSUs, and where applicable, performance-based pay. Our Talent Acquisition Team can answer questions around dbt Lab’s total rewards during your interview process.
What to expect in the hiring process (all interviews will be conducted via Zoom):
Interview with a Talent Acquisition Partner to align on the role and the skills and experiences we mutually value
Interview with Hiring Manager
Team Interviews (1:1s) with members of the Sales and Solutions Architecture team
Sales Challenge
LI-SW1
dbt Labs is an equal opportunity employer, committed to building an inclusive team that welcomes diverse perspectives, backgrounds, and experiences. Even if your experience doesn’t perfectly align with the job description, we encourage you to apply—we value potential just as much as a perfect resume.
Want to learn more about our focus on Diversity, Equity and Inclusion at dbt Labs? Check out our DEI page.
dbt Labs reserves the right to amend or withdraw the posting at any time. For employees outside the United States, dbt Labs offers a competitive benefits package. RSUs or comparable benefits may be offered depending on the legal or country limitations.
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
The Community You Will Join:
The Homes Supply team is responsible for growing Airbnb’s supply base and ensuring we maintain a diverse, high-quality portfolio of home listings that meet guest expectations for value, variety, and experience. The team also supports hosts globally by enabling efficient planning and execution of growth strategies that align with Airbnb’s mission and resonate with local communities.
The Difference You will Make:
This role requires candidates to be based in Barcelona, London, Paris. This role is not eligible for relocation support.
As a EMEA Supply Business Operations, you are entrusted with the Strategy and Planning activities for the region, working closely with the Territory Managers, Acquisition Lead, as well as many cross-functional teams.
A Typical Day:
Strategic Planning & Analysis
Partner with the EMEA Homes Director to define and execute regional strategy, goals, and key initiatives
Build and maintain frameworks for tracking business performance against OKRs and company priorities
Conduct deep-dive analyses on market trends, competitive landscape, and growth opportunities across EMEA
Operational Excellence
Design and improve operational processes to increase efficiency, transparency, and cross-functional alignment
Own the cadence of business reviews (WBRs, MBRs, QBRs), ensuring the leadership team has clear visibility into performance
Identify bottlenecks, risks, and opportunities — and drive action plans to resolution
Cross-Functional Collaboration
Act as a connective tissue between the EMEA Homes team and key partners including Product, Marketing, Policy, Finance, Data Science, and Customer Service
Facilitate alignment across stakeholders on high-priority projects and regional launches
Represent EMEA Homes perspectives in global Biz Ops forums and planning cycles
Insights & Storytelling
Translate complex data into clear, compelling narratives for leadership audiences
Build dashboards, reports, and presentations that drive informed decision-making
Champion a culture of data-driven thinking within the team
Your Expertise:
10+ years of experience in business operations, strategy, management consulting, or a related analytical role
Strong analytical skills with proficiency in SQL, Excel/Sheets, and data visualization tools (e.g., Tableau, Looker, Superset); AI knowledge. .
Proven ability to manage complex, cross-functional projects from ideation to execution
Excellent communication and presentation skills — both written and verbal
Comfort operating in ambiguity with a bias toward action and ownership
Experience working in a fast-paced, global environment
Additional
Experience in a two-sided marketplace, travel/hospitality, or tech industry
Familiarity with Airbnb's business model and the EMEA market landscape
Our Commitment To Inclusion & Belonging:
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.
How We'll Take Care of You:
Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range shown below is annualized, is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
The Community You Will Join:
The Homes Supply team is responsible for growing Airbnb’s supply base and ensuring we maintain a diverse, high-quality portfolio of home listings that meet guest expectations for value, variety, and experience. The team also supports hosts globally by enabling efficient planning and execution of growth strategies that align with Airbnb’s mission and resonate with local communities.
The Difference You will Make:
This role requires candidates to be based in Barcelona, London, Paris. This role is not eligible for relocation support.
As a EMEA Supply Business Operations, you are entrusted with the Strategy and Planning activities for the region, working closely with the Territory Managers, Acquisition Lead, as well as many cross-functional teams.
A Typical Day:
Strategic Planning & Analysis
Partner with the EMEA Homes Director to define and execute regional strategy, goals, and key initiatives
Build and maintain frameworks for tracking business performance against OKRs and company priorities
Conduct deep-dive analyses on market trends, competitive landscape, and growth opportunities across EMEA
Operational Excellence
Design and improve operational processes to increase efficiency, transparency, and cross-functional alignment
Own the cadence of business reviews (WBRs, MBRs, QBRs), ensuring the leadership team has clear visibility into performance
Identify bottlenecks, risks, and opportunities — and drive action plans to resolution
Cross-Functional Collaboration
Act as a connective tissue between the EMEA Homes team and key partners including Product, Marketing, Policy, Finance, Data Science, and Customer Service
Facilitate alignment across stakeholders on high-priority projects and regional launches
Represent EMEA Homes perspectives in global Biz Ops forums and planning cycles
Insights & Storytelling
Translate complex data into clear, compelling narratives for leadership audiences
Build dashboards, reports, and presentations that drive informed decision-making
Champion a culture of data-driven thinking within the team
Your Expertise:
10+ years of experience in business operations, strategy, management consulting, or a related analytical role
Strong analytical skills with proficiency in SQL, Excel/Sheets, and data visualization tools (e.g., Tableau, Looker, Superset); AI knowledge. .
Proven ability to manage complex, cross-functional projects from ideation to execution
Excellent communication and presentation skills — both written and verbal
Comfort operating in ambiguity with a bias toward action and ownership
Experience working in a fast-paced, global environment
Additional
Experience in a two-sided marketplace, travel/hospitality, or tech industry
Familiarity with Airbnb's business model and the EMEA market landscape
Our Commitment To Inclusion & Belonging:
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.
How We'll Take Care of You:
Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range shown below is annualized, is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
The Community You Will Join:
The Homes Supply team is responsible for growing Airbnb’s supply base and ensuring we maintain a diverse, high-quality portfolio of home listings that meet guest expectations for value, variety, and experience. The team also supports hosts globally by enabling efficient planning and execution of growth strategies that align with Airbnb’s mission and resonate with local communities.
The Difference You will Make:
This role requires candidates to be based in Barcelona, London, Paris. This role is not eligible for relocation support.
As a EMEA Supply Business Operations, you are entrusted with the Strategy and Planning activities for the region, working closely with the Territory Managers, Acquisition Lead, as well as many cross-functional teams.
A Typical Day:
Strategic Planning & Analysis
Partner with the EMEA Homes Director to define and execute regional strategy, goals, and key initiatives
Build and maintain frameworks for tracking business performance against OKRs and company priorities
Conduct deep-dive analyses on market trends, competitive landscape, and growth opportunities across EMEA
Operational Excellence
Design and improve operational processes to increase efficiency, transparency, and cross-functional alignment
Own the cadence of business reviews (WBRs, MBRs, QBRs), ensuring the leadership team has clear visibility into performance
Identify bottlenecks, risks, and opportunities — and drive action plans to resolution
Cross-Functional Collaboration
Act as a connective tissue between the EMEA Homes team and key partners including Product, Marketing, Policy, Finance, Data Science, and Customer Service
Facilitate alignment across stakeholders on high-priority projects and regional launches
Represent EMEA Homes perspectives in global Biz Ops forums and planning cycles
Insights & Storytelling
Translate complex data into clear, compelling narratives for leadership audiences
Build dashboards, reports, and presentations that drive informed decision-making
Champion a culture of data-driven thinking within the team
Your Expertise:
10+ years of experience in business operations, strategy, management consulting, or a related analytical role
Strong analytical skills with proficiency in SQL, Excel/Sheets, and data visualization tools (e.g., Tableau, Looker, Superset); AI knowledge. .
Proven ability to manage complex, cross-functional projects from ideation to execution
Excellent communication and presentation skills — both written and verbal
Comfort operating in ambiguity with a bias toward action and ownership
Experience working in a fast-paced, global environment
Additional
Experience in a two-sided marketplace, travel/hospitality, or tech industry
Familiarity with Airbnb's business model and the EMEA market landscape
Our Commitment To Inclusion & Belonging:
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.
How We'll Take Care of You:
Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range shown below is annualized, is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
Créée en 2000, Ivalua est un leader mondial dans l’édition de solutions cloud de gestion des achats.
NOTRE ENTREPRISE
Chez Ivalua, nous sommes une communauté mondiale d'experts convaincus que la transformation numérique rend les chaînes d'approvisionnement plus durables et résilientes, tout en améliorant la collaboration avec les fournisseurs.
Et nous y parvenons grâce à notre plateforme cloud de gestion des dépenses, qui permet à des centaines de grandes marques de gérer leurs dépenses et leurs fournisseurs tout en optimisant leur rentabilité, leur performance ESG (Environnement, Sociale et Gouvernance), de réduire les risques et d’améliorer leur productivité.
Animés par nos passions et nourris par nos ambitions communes, nous nous donnons les moyens de relever les défis et de créer des expériences impactantes pour nos clients et notre écosystème partenaire, tout en donnant du sens à nos équipes.
CONTEXTE: Notre département R&D a pour mission de d’innover, développer et maintenir notre plateforme SaaS. Au sein de l’équipe DBO, vous serez chargé d’apporter votre expertise pour garantir une utilisation optimale de nos bases de données. C’est un poste de “DBA développement”, vous n’interviendrez pas sur la partie production ni sur la couche infrastructure.
RÔLE: Vous rejoindrez une équipe composée d’un DBO Senior Manager et d’un alternant. Vous collaborez principalement avec la R&D, mais aussi avec les équipes IT, Run et Build.
CE QUE VOUS FEREZ CHEZ NOUS:
Fournir des conseils d'expert en programmation T-SQL et modélisation de bases de données
Contribuer aux évolutions complexes des modèles de données (logiques et physiques)
Effectuer des revues de code, faire respecter les standards SQL et les meilleures pratiques d'Ivalua
Analyser, expliquer et proposer des solutions aux problèmes de performance les plus complexes
Développer et maintenir des modules SQL techniques (procédures stockées, fonctions…)
VOTRE PROFIL
Compétences et Expérience:
Vous avez 10 ans d’expérience professionnelle dont au moins 7 ans d’expérience dans le développement de base de données sur SQL Server
Vous avez d’excellentes compétences en T-SQL
Vous êtes capable d’apporter votre expertise sur des problématiques de modélisation et d’architecture de données
Vous êtes à l’aise pour intervenir sur l’optimisation des performances MSSQL
Vous avez d’excellentes connaissances des mécanismes internes de MSSQL
Qualités Recherchées:
Vous êtes force de proposition et d’un naturel curieux
Vous faites preuve d’adaptabilité et d’une bonne communication
Vous savez anticiper les problématiques
Vous aimez travailler en équipe
Vous travaillez avec rigueur et autonomie
CE QUI VOUS ATTEND ENSUITE
Si votre candidature correspond aux compétences souhaitées pour ce rôle, notre équipe de recrutement vous contactera pour planifier un premier échange téléphonique. Faites un pas de plus vers la réalisation de vos objectifs - postulez dès aujourd'hui !
Un recruteur dédié vous guidera à chaque étape du processus de recrutement. Nous sommes là pour vous accompagner !
Notre processus de recrutement est conçu pour évaluer vos compétences à travers une série d'entretiens personnalisés avec nos équipes. Les entretiens se déroulent virtuellement et en personne dans nos locaux.
CE QUE VOUS TROUVEREZ CHEZ IVALUA
Un modèle “Hybride” (3 jours sur site, 2 jours en télétravail),
Nous sommes une équipe animée par l’envie de repousser les limites de l'innovation produit et technologique,
Société privée en constante croissance,
Une entreprise stable et rentable,
Chaque semaine, la possibilité de se retrouver tous ensemble autour d’un repas proposé par l’entreprise,
S’épanouir en poursuivant ses objectifs à travers un puissant état d’esprit d’équipe, propice à la créativité et productivité,
Révéler votre potentiel professionnel grâce à notre programme de formation et de développement de carrière,
Rallier une équipe dynamique et internationale composée d’experts dans leurs domaines, et collaborer avec des personnes passionnées par leur travail et guidées par une même vision,
Faites l'expérience d'un environnement de travail inclusif ouvert á la diversité, où votre contribution sera appréciée et valorisée,
Prenez part aux nombreux événements organisés dans le cadre de l’entreprise ( compétitions sportives, événements musicaux et team building),
Plébiscitée par ses collaborateurs, Ivalua a été nommée par la société Comparably (https://www.comparably.com/companies/ivalua) :
Portés par nos différences - Votre énergie est notre force !
Unis par nos valeurs, nous célébrons la diversité et l’équité dans toute leur étendue pour construire un environnement de travail inclusif. Pour aider nos clients à rendre leurs chaînes d’approvisionnement plus efficaces, durables et résilientes, nous comptons sur nos équipes internationales aux parcours, compétences et perspectives divers et variés. Nous croyons en l’égalité des opportunités et en la diversité comme moteurs d’innovation, favorisant un esprit d’inclusivité, un environnement de travail productif et agréable, et en offrant des perspectives de carrière épanouissantes pour tous les Ivaluans.
Explorez la culture Ivalua - visionnez cette vidéo pour en savoir plus !
The climate crisis is the defining challenge of our time—but it’s also the greatest opportunity for innovation, and a challenge we’re proud to take on. At Overstory, we’re harnessing cutting-edge technology to enable a resilient electrical grid that keeps communities thriving as our world changes.
The grid is the backbone of life as we know it. It powers hospitals, keeps food fresh, and ensures communities stay connected. But extreme weather, aging infrastructure, and growing wildfire risks are putting this critical system under pressure. All of this combined makes the electric utility industry the greatest opportunity for tackling climate change.
One of the leading causes of catastrophic wildfires and power outages? Trees and brush coming into contact with power lines.
That’s where we help. At Overstory, we use AI and advanced satellite imagery to pinpoint and prioritize vegetation risks before they materialize. By giving utilities critical analysis on those risks, we’re helping prevent outages, reduce wildfire risks, and accelerate the transition to a safer, more resilient grid.
Our team spans the Americas and Europe, and we work with utility partners across the Americas and beyond. We’re outdoor enthusiasts, musicians, artists, athletes, parents, and adventurers. What unites us is a passion for solving complex problems, a commitment to climate action, and the belief that technology should be a force for good.
Join us to help us build a more resilient world together.
Role & Team
As a Data Engineering Manager, you will lead across several cross-functional teams, managing up to ~10 data engineers and GIS specialists. You will support teams working on data processing and pipelines to enable ML-powered product capabilities.
Our product teams are cross functional and will typically include product managers, designers, engineers and subject matter experts relating to the team’s domain.
You will be accountable for the technical direction and delivery outcomes of your area. You will challenge your teams to pursue ambitious goals while providing a high level of support — growing engineering talent and fostering a highly collaborative, team-based environment where people can do great work.
Your primary focus will be on building high-performing teams and driving results through others. You will not be expected to spend significant time doing hands-on coding; however, you will be expected to dive deep technically when required and leverage your experience to support strong technical decision-making.
Time zone requirement: Europe (GMT/WET, CET, EET) and Eastern North America (NST, AST, EST)
What You'll Do
Enable our data engineers to become highly productive members of their cross-functional teams, empowering them to ship high-quality, reliable data platforms and pipelines on a daily basis.
Grow the teams by attracting great talent from your network.
Foster an inclusive and caring culture where everyone can do their best work.
Provide regular 1:1 coaching and feedback to tap into the potential of all your team members and help them thrive and reach their aspirations.
Be a strategic partner to product managers, machine learning engineers, and other stakeholders within your domains and ensure that we are making the correct data architecture and platform decisions that balance short and long term goals.
Ensure suitability of the data architecture, pipelines, and data models within your domains to enable longer term product, analytics, and machine learning goals.
Work closely with the other Product & Engineering leaders on strategy, technology and people, including improving our data engineering practices and introducing capabilities that can accelerate data access, reliability, and unlock new product and data-driven opportunities
Skills & Experience
Experience working in a high growth scaleup environment
Passionate about climate
Product minded and able to demonstrate significant impact you have had on a business through the application of data platforms and data-driven systems
2+ years experience leading and managing data engineers across multiple teams
Experience working with the following (or similar) technologies: Python, SQL, data pipeline orchestration tools (e.g., Airflow, Dagster), data warehouses/lakehouses, Postgres DB, data pipelines
Ability to unblock your team by contributing at a senior engineering level (e.g., reviewing data models, debugging pipelines, guiding architecture). How hands-on you'll be in this role will depend on team size and maturity
Comfortable working in a build it, run it environment (GCP, cloud run, grafana, k8s) - or similar, with an understanding of data reliability, observability, and pipeline operations
Strong leadership skills with the ability to mentor and coach engineers at all levels
Excellent communication skills and ability to collaborate effectively in a cross-functional team environment
Passion for learning and staying updated with evolving technologies and industry trends, particularly in data engineering and data infrastructure
Nice To Have
Experience working with maps/imagery/geospatial domains
Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.
What We Offer
Competitive, location-specific compensation and benefits
Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
Home office stipend, coworking and ongoing education budgets
A company culture that genuinely embodies each of our core values
To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis
About Our Team
We are a group of 100 people from all over the world. Fifteen nationalities are represented in our team and at last count we speak fourteen languages: English, Dutch, French, Spanish, German, Italian, Portuguese, Russian, Luxembourgish, Lithuanian, Bulgarian, Cantonese, Estonian, and Danish.
We work remotely from eleven countries and are looking for candidates that are living and working in one of them: United States, the Netherlands, United Kingdom, Ireland, Estonia, Portugal, France, Sweden, Switzerland, Denmark and Canada. We gather once a year in-person for our unforgettable team gathering event. We also offer the option to occasionally meet up for in-person collaboration.
Diversity & Inclusion
The climate crisis is a human crisis that requires diverse perspectives to solve.
We place enormous value on diversity and believe that the best ideas emerge when people with different backgrounds and experience work together. We remain committed to scaling a team that reflects the communities we serve, and strive to uphold equitable and inclusive practices across every aspect of our business. We are responsible for creating and maintaining a culture where everyone - regardless of background - has a voice in building a sustainable future.
Our Values
Tackling the climate crisis is our greatest mission.
We act with urgency.
Our curiosity fuels our growth.
We recognize that change is constant, and we find joy and power in exploration.
We’re rooted in diversity.
Just as ecosystems need biodiversity to thrive, our resiliency comes from our differences.
We care for each other.
We love the power of machines but we nurture each other as humans.
Trust is fundamental.
We assume the best in everyone, and we share ideas openly so that we have a positive impact.
_________________________________
Use of AI in Our Hiring Process
We sometimes use AI tools to support parts of our hiring process, such as helping us manage applications more efficiently or ensuring job descriptions are clear and inclusive. All hiring decisions are always made by people, not machines. Any data processed by AI is handled securely in line with GDPR and our Privacy Notice.
At Ping Identity, we believe in making digital experiences both secure and seamless for all users, without compromise. We call this digital freedom. And it's not just something we provide our customers. It's something that inspires our company. People don't come here to join a culture that's built on digital freedom. They come to cultivate it.
Our intelligent, cloud identity platform lets people shop, work, bank, and interact wherever and however they want. Without friction. Without fear.
While protecting digital identities is at the core of our technology, protecting individual identities is at the core of our culture. We champion every identity. One of our core values, Respect Individuality, reminds us to celebrate differences so you are empowered to bring your authentic self to work.
We're headquartered in Denver, Colorado and we have offices and employees around the globe. We serve the largest, most demanding enterprises worldwide, including more than half of the Fortune 100. At Ping Identity, we're changing the way people and businesses think about cybersecurity, digital experiences, and identity and access management.
As a Partner Sales Engineer at Ping Identity, you will bring a passion for identity and a customer-first mindset. You will work with a highly effective partner team on engaging and interactive customer-oriented meetings, demonstrations, and proofs of concept that articulate the business and technical value customers will receive from a Ping Identity solution. You will be an active member of a team that empowers personal, team, and partner success. This role will be a key contributor to our overall sales and business development strategy as we look to continue maturing our partner network to ensure sustained growth across Europe and build out our partner capability in a number of other developing markets.
As a Partner Sales Engineer, you will have the opportunity to not only enable partners but also work alongside them and support them as they go to market with Ping Identity solutions. In this capacity, you will build and exercise deep technical and consultative skills while leveraging soft skills to maintain engagements and keep them moving forward. Collaboration is at the heart of this role; you will need to exercise consultative skills to rapidly understand an identity problem, prototype a full-stack solution, and implement this as a reusable asset that can be leveraged to accelerate partner-led engagements.
Expertise with Identity and Access Management (IAM) technologies coupled with insight into System Integrators’ unique needs, all matched with Ping Identity’s visionary capabilities, will enable the presentation of uniquely innovative and effective solutions that will enhance customer success with Ping Identity.
Responsibilities:
Foster close relationships with delivery partners to support the technical sales relationship and build a mutually beneficial plan of success for delivering Ping Identity solutions.
Support partner teams to understand and deliver enablement to drive business goals.
Share knowledge and collaborate closely with the Field SE team, and occasionally contribute to broader opportunities and initiatives.
Become familiar with elements that include marketing events, solution and sales training, joint solution development, and joint account sales activities that will drive the alliance relationship.
Support partner technical learning events across supported sales regions, which might include delivering solution presentations, whiteboarding, and demonstrations.
Work with the partner team to identify gaps in partner enablement, then create and execute plans to close those gaps.
Provide pre-sales technical guidance to partners, i.e., product demonstrations, proof of concept for proposed solutions, and/or technical workshops.
Work with partner teams to enable them to achieve customer wins. Emphasis during key sales cycle phases of: Qualification, Discovery, and Technical Proof Phase.
Able to travel up to 30% of the time.
Skills & Qualifications:
3+ years in customer-facing professional services or pre-sales positions.
Strong base of system integrator industry knowledge.
Ability to develop and nurture relationships with System Integrators and Ping Identity Partner teams to better understand demonstration needs and solution requirements.
Ability to rapidly innovate through the development of mobile and web applications, APIs, and platform configuration to build demonstration assets that resonate with both business and technical audiences. The focus is to enable system integrator teams to sell Ping Identity successfully.
Strong written and verbal communication skills to empower System Integrator and Channel partner communities.
Ability to work with a high level of self-direction and/or collaboratively with other teams within Ping Identity.
Ability to relate proposed solution technical capabilities back to customer needs in a narrative style.
Competency with scripting languages (JavaScript, Groovy, etc.), RESTful Web Services, and web development frameworks such as Node.JS and Vue.js.
Some experience but, most importantly, a willingness to learn mobile and hybrid frameworks to deliver demonstrations on a variety of platforms.
Developing and delivering technical presentations, workshops, customized demonstrations, and proof of concepts.
Experience working with IAM solutions in or with enterprise organizations.
Experience with the installation and configuration of one or more IAM technologies from: Ping Identity, Forgerock, CA, Oracle, IBM, Novell/NetIQ/Microfocus, or similar.
Working knowledge of IAM-related protocols and formats such as: OAuth2, OIDC, SAML, SCIM, LDAP, JSON, XML, SQL, etc.
General networking concepts and technologies such as: TCP/IP, HTTP/S, routing, load balancers, proxies, etc.
Cloud Platforms - AWS, GCP, or Azure.
Proficiency in speaking and writing French is a must have in addition to English as means of communication.
Proficiency in Spanish will be nice to have.
Ideal Candidate Skills (one or more):
First hand familiarity with capabilities of one or more IAM technologies from Ping Identity, Forgerock, Okta, Auth0, SailPoint, CA, Oracle, or similar.
Understanding of one or more standards and protocols relating to IAM: OAuth2, OIDC, UMA, SAML, SCIM, LDAP, JSON.
Expertise with one or more typical cloud services providers such as AWS, GCP, Azure.
Consultancy experience working with external stakeholders such as business partners, customers.
Experience working closely with a sales organization.
Understanding of IAM concepts such as Authentication / Authorization / Federation / Single Sign-On / User Lifecycle Management / Provisioning / Governance / Workflow.
Life at Ping:
We believe in and facilitate a flexible, collaborative work environment. We’re growing quickly, but remain true to the innovative, can-do startup values that got us here. Most importantly, we keep hiring talented, smart, fun, and genuinely nice people because that’s who we want to succeed with every day.
Here are just a few of the things that make Ping special:
A company culture that empowers you to do your best work.
Employee Resource Groups that create a sense of belonging for everyone.
Regular company and team bonding events.
Competitive benefits and perks.
Global volunteering and community initiatives
Our Benefits:
Generous PTO & Holiday Schedule
Parental Leave
Progressive Healthcare Options
Retirement Programs
Opportunity for Education Reimbursement
Commuter Offset (Specific locations)
Ping is the collective sum of all our individual experiences, backgrounds and influences and we pride ourselves in growing and learning together. We are committed to building an inclusive and diverse environment where everyone’s individuality is respected and everyone has an Identity. In recruiting for new colleagues, we welcome the unique contributions you can bring and encourage you to be your best self.
We are an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law.
Chez Doctolib, l’équipe Sales & Customer Care Opérations est chargée d’optimiser l’efficacité de l’ensemble de nos équipes commerciales, support et account management tout en maintenant un niveau élevé de motivation, de dynamisme et de passion. Composée de plus de 30 personnes, elle est responsable de l’organisation, de la stratégie, des données, des processus, des outils et de l’encadrement de nos plus de 500 commerciaux et consultants. L’équipe Sales & Customer Care Ops est rattachée au Directeur Sales & CC Ops directement sous la direction de la VP croissance et stratégie France, Julie Touyarot.
Vous travaillerez en étroite collaboration avec les équipes Marketing Produit, Data, Finance et Ventes, Support, AM ainsi qu’avec la direction des ventes et du marketing FR.
Vous contribuerez grandement à l’amélioration des performances de nos équipes commerciales, account management et à la croissance de notre chiffre d’affaires tout en étant les garants de la satisfaction client.
Vos missions
Vos responsabilités incluent, sans toutefois s’y limiter :
Préparer les revues mensuelles de performance partagées avec la direction générale et en créant des insights exploitables à partir de jeux de données complexes
Suivre la performance et aider à la planification et au développement des modèles de forecast de nos principaux KPIs
Construire et maintenir des tableaux de bord de performance
Analyser de manière approfondie des indicateurs pour identifier les tendances, les insights et les domaines d'amélioration.
Soutenir la mise en œuvre de projets stratégiques (organisation des ventes, stratégie de remise, coaching des ventes, refonte des processus existants…)
Les qualités attendues pour ce poste
Avant de poursuivre votre lecture, si vous n'avez pas le profil exact décrit ci-dessous, mais que vous pensez que cette description de poste correspond à vos compétences et à vos aspirations, nous vous encourageons tout de même à postuler.
Vous pourrez être le prochain membre de notre équipe si :
Vous êtes étudiant en école d'ingénieurs ou de commerce (top 10) avec au moins six mois d'expérience
Vous avez de solides compétences analytiques et en résolution de problèmes, à l'aise entre conception stratégique et mise en œuvre opérationnelle
Vous maîtrisez SQL et les outils de traitement de données (GSheet, etc.)
Vous avez une expérience confirmée en gestion de projet avec multiples parties prenantes
Vous êtes autonome avec un esprit entrepreneurial, capable de prospérer dans un environnement dynamique
Vous avez d'excellentes compétences en communication et relationnel, êtes français natif et parlez couramment l'anglais
Notre offre
Un programme d'onboarding complet avec la Doctolib Academy et de nombreuses sessions de formation au sein de votre équipe
Une super offre de sport : des cours de sport gratuits dans les bureaux
De nombreux bureaux offrant des espaces de collaboration et de bien-être
Le remboursement des titres de transports à 50%
Une carte Swile et de nombreuses offres de restauration au sein de nos locaux
Une politique de travail flexible avec un mode hybride
Le processus de recrutement
Un call RH avec Marie, Talent Partner (15 minutes)
Un entretien opérationnel avec Paul, Senior Performance Lead et un autre membre de l’équipe (1 heure)
Détails du poste
Type de poste : Stage conventionné à temps plein
Durée : 6 mois
Lieu de travail : Levallois-Perret
Date de début : Juillet 2026
Rémunération : À définir selon profil
Chez Doctolib, nous sommes convaincus que nous devons améliorer la santé pour tout le monde. Cela se reflète dans notre processus de recrutement. Nous évaluons les candidatures uniquement sur la base des qualifications et de la motivation, sans aucune forme de discrimination.
Plus les idées sont diverses, plus notre produit améliorera véritablement la santé pour tout le monde. Vous pouvez postuler chez Doctolib, quel que soit votre genre, religion, âge, orientation sexuelle, origine ethnique ou handicap.
Afin de garantir l'égalité des chances, nous vous invitons à exclure les informations personnelles (par exemple : photos, âge) de vos candidatures. Si vous avez besoin d'aménagements particuliers, merci de nous en informer pour que nous puissions adapter le processus de recrutement. Rejoignez-nous pour construire la santé dont nous rêvons tous !
Toutes les informations fournies sont traitées par Doctolib pour la gestion des candidatures. Pour plus de détails sur le traitement des données, cliquezici. Veuillez contacter hr.dataprivacy(at)doctolib.com pour toute question ou pour exercer vos droits.
Founded in 2012, Mirakl has been at the forefront of marketplace innovation, empowering every business to compete in the platform economy.
Today, Mirakl’s operating system combines an enterprise marketplace solution (Mirakl Platform) that enables retailers and B2B organizations to launch, scale, and operate marketplaces and dropship, AI-powered multichannel selling (Mirakl Connect), retail media (Mirakl Ads) and an agentic commerce infrastructure (Mirakl Nexus).
With dual headquarters in Boston and Paris, Mirakl helps a global ecosystem of 450+ marketplaces (B2C and B2B) and a network of over 100k third-party marketplace sellers. Brands like Macy’s, Decathlon, Carrefour, Asos, and Airbus Helicopters use Mirakl to grow their businesses in new and remarkable ways.
👥 750+ employees in 9 offices worldwide: Paris, Barcelona, Bordeaux, Boston, London, Munich, New York, Sydney, Tokyo
🇫🇷 350+ Mirakl Tech teams members mainly based in France
⚙️ 5 Saas Solutions
Our Values:
Working at Mirakl means accelerating your career alongside ambitious, passionate, and supportive colleagues. We're proud of the diversity of backgrounds, perspectives, and experiences that make our teams unique.
Our 5 values guide how we collaborate:
💡 Work Hard Together: Teamwork and collaboration are the foundation of our success
🏆 Get Things Done: We prioritize action and efficiency for impactful results
🚀 Go Above & Beyond: We tackle challenges proactively and always aim for excellence
🎓 Succeed Through Expertise: Knowledge sharing and continuous learning are core to our culture
As part of our broader Data team (60+ people), you'll be prototyping, iterating, and shipping algorithms to production that directly impact marketplace catalog challenges—from NLP to large-scale Generative AI with custom LLMs.
Our opportunity can be located in Paris or Bordeaux and requires 4 days onsite per week, 1 day remote.
Build and deploy ML algorithms to production that power 500+ e-commerce and marketplace sites across 40 countries, directly impacting revenue growth, operational efficiency, and transaction safety
Tackle real-world catalog challenges including automatic content rewriting, product attribute extraction from images and text, variant detection, product categorization, seller onboarding automation, and trending product prediction
Work with cutting-edge AI techniques including multimodal models and LLM fine-tuning—Mirakl is one of the few French players with fine-tuned LLMs in large-scale production
Own your projects end-to-end: from data analysis and prototyping to production deployment with Data Engineers and dev teams, plus building dashboards to monitor algorithm performance
Collaborate across teams to refine use cases, user experience, and integration paths while presenting results at weekly data science meetings
What You'll Bring to the Role
Experience:
4+ years of experience as a Data Scientist with strong hands-on NLP and applied ML in industry
Proven track record of deploying Machine Learning algorithms to production
Experience with Spark development for large-scale data processing
Skills:
Expertise in NLP and Computer Vision algorithms and state-of-the-art architectures (e.g., Transformers)
Proficiency in Python and TensorFlow and/or PyTorch
Knowledge of the latest LLMs and fine-tuning techniques
Data-driven, pragmatic, and business-oriented approach
Strong ownership and autonomy with excellent team collaboration
Tech Stack
Core ML/AI:
Python, TensorFlow, PyTorch, Hugging Face
LLM-specific:
Autotrain, Unsloth, Galileo, LangChain, Anyscale
Data infrastructure:
Databricks, Spark, AWS (Amazon Redshift, S3), SQL, Airflow, Delta Lake
Our Hiring Process
We warmly encourage you to apply to any of our roles, even if you think you're not an exact match.
Hiring steps:
A 30/45-minute phone call with one of our Tech recruiters to discuss your background, expectations, and the role
A 30-minute technical call with someone from the Data Science team to dive into concrete aspects of your expertise and how it fits our projects
A take-home assignment to demonstrate your technical skills
A 75-minute technical debrief and discussion with the Data Science Team managers
2x45mn STAR interviews with future Mirakl colleagues to discuss our values and culture
We welcome collaborators with their diverse perspectives and experiences to power us forward. These often far exceed conventional job requirements and help us create a culture of continuous learning. If you’re ready to join a global leader powering digital transformation for 450+ of the world’s most innovative retailers and B2B organizations..
We may use Artificial Intelligence (AI) solutions to help streamline our hiring process, including screening applications, analyzing resumes, and assessing responses. While AI helps us work efficiently, all final hiring decisions are made by humans. For more information, visit our AI Guidelines for Candidates and Interviews.
Founded in 2012, Mirakl has been at the forefront of marketplace innovation, empowering every business to compete in the platform economy.
Today, Mirakl’s operating system combines an enterprise marketplace solution (Mirakl Platform) that enables retailers and B2B organizations to launch, scale, and operate marketplaces and dropship, AI-powered multichannel selling (Mirakl Connect), retail media (Mirakl Ads) and an agentic commerce infrastructure (Mirakl Nexus).
With dual headquarters in Boston and Paris, Mirakl helps a global ecosystem of 450+ marketplaces (B2C and B2B) and a network of over 100k third-party marketplace sellers. Brands like Macy’s, Decathlon, Carrefour, Asos, and Airbus Helicopters use Mirakl to grow their businesses in new and remarkable ways.
👥 750+ employees in 9 offices worldwide: Paris, Barcelona, Bordeaux, Boston, London, Munich, New York, Sydney, Tokyo
🇫🇷 350+ Mirakl Tech teams members mainly based in France
⚙️ 5 Saas Solutions
Our Values:
Working at Mirakl means accelerating your career alongside ambitious, passionate, and supportive colleagues. We're proud of the diversity of backgrounds, perspectives, and experiences that make our teams unique.
Our 5 values guide how we collaborate:
💡 Work Hard Together: Teamwork and collaboration are the foundation of our success
🏆 Get Things Done: We prioritize action and efficiency for impactful results
🚀 Go Above & Beyond: We tackle challenges proactively and always aim for excellence
🎓 Succeed Through Expertise: Knowledge sharing and continuous learning are core to our culture
As part of our broader Data team (60+ people), you'll be prototyping, iterating, and shipping algorithms to production that directly impact marketplace catalog challenges—from NLP to large-scale Generative AI with custom LLMs.
Our opportunity can be located in Paris or Bordeaux and requires 4 days onsite per week, 1 day remote.
Build and deploy ML algorithms to production that power 500+ e-commerce and marketplace sites across 40 countries, directly impacting revenue growth, operational efficiency, and transaction safety
Tackle real-world catalog challenges including automatic content rewriting, product attribute extraction from images and text, variant detection, product categorization, seller onboarding automation, and trending product prediction
Work with cutting-edge AI techniques including multimodal models and LLM fine-tuning—Mirakl is one of the few French players with fine-tuned LLMs in large-scale production
Own your projects end-to-end: from data analysis and prototyping to production deployment with Data Engineers and dev teams, plus building dashboards to monitor algorithm performance
Collaborate across teams to refine use cases, user experience, and integration paths while presenting results at weekly data science meetings
What You'll Bring to the Role
Experience:
4+ years of experience as a Data Scientist with strong hands-on NLP and applied ML in industry
Proven track record of deploying Machine Learning algorithms to production
Experience with Spark development for large-scale data processing
Skills:
Expertise in NLP and Computer Vision algorithms and state-of-the-art architectures (e.g., Transformers)
Proficiency in Python and TensorFlow and/or PyTorch
Knowledge of the latest LLMs and fine-tuning techniques
Data-driven, pragmatic, and business-oriented approach
Strong ownership and autonomy with excellent team collaboration
Tech Stack
Core ML/AI:
Python, TensorFlow, PyTorch, Hugging Face
LLM-specific:
Autotrain, Unsloth, Galileo, LangChain, Anyscale
Data infrastructure:
Databricks, Spark, AWS (Amazon Redshift, S3), SQL, Airflow, Delta Lake
Our Hiring Process
We warmly encourage you to apply to any of our roles, even if you think you're not an exact match.
Hiring steps:
A 30/45-minute phone call with one of our Tech recruiters to discuss your background, expectations, and the role
A 30-minute technical call with someone from the Data Science team to dive into concrete aspects of your expertise and how it fits our projects
A take-home assignment to demonstrate your technical skills
A 75-minute technical debrief and discussion with the Data Science Team managers
2x45mn STAR interviews with future Mirakl colleagues to discuss our values and culture
We welcome collaborators with their diverse perspectives and experiences to power us forward. These often far exceed conventional job requirements and help us create a culture of continuous learning. If you’re ready to join a global leader powering digital transformation for 450+ of the world’s most innovative retailers and B2B organizations..
We may use Artificial Intelligence (AI) solutions to help streamline our hiring process, including screening applications, analyzing resumes, and assessing responses. While AI helps us work efficiently, all final hiring decisions are made by humans. For more information, visit our AI Guidelines for Candidates and Interviews.
Founded in 2012, Mirakl has been at the forefront of marketplace innovation, empowering every business to compete in the platform economy.
Today, Mirakl’s operating system combines an enterprise marketplace solution (Mirakl Platform) that enables retailers and B2B organizations to launch, scale, and operate marketplaces and dropship, AI-powered multichannel selling (Mirakl Connect), retail media (Mirakl Ads) and an agentic commerce infrastructure (Mirakl Nexus).
With dual headquarters in Boston and Paris, Mirakl helps a global ecosystem of 450+ marketplaces (B2C and B2B) and a network of over 100k third-party marketplace sellers. Brands like Macy’s, Decathlon, Carrefour, Asos, and Airbus Helicopters use Mirakl to grow their businesses in new and remarkable ways.
👥 750+ employees in 9 offices worldwide: Paris, Barcelona, Bordeaux, Boston, London, Munich, New York, Sydney, Tokyo
🇫🇷 350+ Mirakl Tech teams members mainly based in France
⚙️ 5 Saas Solutions
Our Values:
Working at Mirakl means accelerating your career alongside ambitious, passionate, and supportive colleagues. We're proud of the diversity of backgrounds, perspectives, and experiences that make our teams unique.
Our 5 values guide how we collaborate:
💡 Work Hard Together: Teamwork and collaboration are the foundation of our success
🏆 Get Things Done: We prioritize action and efficiency for impactful results
🚀 Go Above & Beyond: We tackle challenges proactively and always aim for excellence
🎓 Succeed Through Expertise: Knowledge sharing and continuous learning are core to our culture
As part of our broader Data team (60+ people), you'll be prototyping, iterating, and shipping algorithms to production that directly impact marketplace catalog challenges—from NLP to large-scale Generative AI with custom LLMs.
Our opportunity can be located in Paris or Bordeaux and requires 4 days onsite per week, 1 day remote.
Build and deploy ML algorithms to production that power 500+ e-commerce and marketplace sites across 40 countries, directly impacting revenue growth, operational efficiency, and transaction safety
Tackle real-world catalog challenges including automatic content rewriting, product attribute extraction from images and text, variant detection, product categorization, seller onboarding automation, and trending product prediction
Work with cutting-edge AI techniques including multimodal models and LLM fine-tuning—Mirakl is one of the few French players with fine-tuned LLMs in large-scale production
Own your projects end-to-end: from data analysis and prototyping to production deployment with Data Engineers and dev teams, plus building dashboards to monitor algorithm performance
Collaborate across teams to refine use cases, user experience, and integration paths while presenting results at weekly data science meetings
What You'll Bring to the Role
Experience:
4+ years of experience as a Data Scientist with strong hands-on NLP and applied ML in industry
Proven track record of deploying Machine Learning algorithms to production
Experience with Spark development for large-scale data processing
Skills:
Expertise in NLP and Computer Vision algorithms and state-of-the-art architectures (e.g., Transformers)
Proficiency in Python and TensorFlow and/or PyTorch
Knowledge of the latest LLMs and fine-tuning techniques
Data-driven, pragmatic, and business-oriented approach
Strong ownership and autonomy with excellent team collaboration
Tech Stack
Core ML/AI:
Python, TensorFlow, PyTorch, Hugging Face
LLM-specific:
Autotrain, Unsloth, Galileo, LangChain, Anyscale
Data infrastructure:
Databricks, Spark, AWS (Amazon Redshift, S3), SQL, Airflow, Delta Lake
Our Hiring Process
We warmly encourage you to apply to any of our roles, even if you think you're not an exact match.
Hiring steps:
A 30/45-minute phone call with one of our Tech recruiters to discuss your background, expectations, and the role
A 30-minute technical call with someone from the Data Science team to dive into concrete aspects of your expertise and how it fits our projects
A take-home assignment to demonstrate your technical skills
A 75-minute technical debrief and discussion with the Data Science Team managers
2x45mn STAR interviews with future Mirakl colleagues to discuss our values and culture
We welcome collaborators with their diverse perspectives and experiences to power us forward. These often far exceed conventional job requirements and help us create a culture of continuous learning. If you’re ready to join a global leader powering digital transformation for 450+ of the world’s most innovative retailers and B2B organizations..
We may use Artificial Intelligence (AI) solutions to help streamline our hiring process, including screening applications, analyzing resumes, and assessing responses. While AI helps us work efficiently, all final hiring decisions are made by humans. For more information, visit our AI Guidelines for Candidates and Interviews.
Founded in 2012, Mirakl has been at the forefront of marketplace innovation, empowering every business to compete in the platform economy.
Today, Mirakl’s operating system combines an enterprise marketplace solution (Mirakl Platform) that enables retailers and B2B organizations to launch, scale, and operate marketplaces and dropship, AI-powered multichannel selling (Mirakl Connect), retail media (Mirakl Ads) and an agentic commerce infrastructure (Mirakl Nexus).
With dual headquarters in Boston and Paris, Mirakl helps a global ecosystem of 450+ marketplaces (B2C and B2B) and a network of over 100k third-party marketplace sellers. Brands like Macy’s, Decathlon, Carrefour, Asos, and Airbus Helicopters use Mirakl to grow their businesses in new and remarkable ways.
👥 750+ employees in 9 offices worldwide: Paris, Barcelona, Bordeaux, Boston, London, Munich, New York, Sydney, Tokyo
🇫🇷 350+ Mirakl Tech teams members mainly based in France
⚙️ 5 Saas Solutions
Our Values:
Working at Mirakl means accelerating your career alongside ambitious, passionate, and supportive colleagues. We're proud of the diversity of backgrounds, perspectives, and experiences that make our teams unique.
Our 5 values guide how we collaborate:
💡 Work Hard Together: Teamwork and collaboration are the foundation of our success
🏆 Get Things Done: We prioritize action and efficiency for impactful results
🚀 Go Above & Beyond: We tackle challenges proactively and always aim for excellence
🎓 Succeed Through Expertise: Knowledge sharing and continuous learning are core to our culture
As part of our broader Data team (60+ people), you'll be prototyping, iterating, and shipping algorithms to production that directly impact marketplace catalog challenges—from NLP to large-scale Generative AI with custom LLMs.
Our opportunity can be located in Paris or Bordeaux and requires 4 days onsite per week, 1 day remote.
Build and deploy ML algorithms to production that power 500+ e-commerce and marketplace sites across 40 countries, directly impacting revenue growth, operational efficiency, and transaction safety
Tackle real-world catalog challenges including automatic content rewriting, product attribute extraction from images and text, variant detection, product categorization, seller onboarding automation, and trending product prediction
Work with cutting-edge AI techniques including multimodal models and LLM fine-tuning—Mirakl is one of the few French players with fine-tuned LLMs in large-scale production
Own your projects end-to-end: from data analysis and prototyping to production deployment with Data Engineers and dev teams, plus building dashboards to monitor algorithm performance
Collaborate across teams to refine use cases, user experience, and integration paths while presenting results at weekly data science meetings
What You'll Bring to the Role
Experience:
4+ years of experience as a Data Scientist with strong hands-on NLP and applied ML in industry
Proven track record of deploying Machine Learning algorithms to production
Experience with Spark development for large-scale data processing
Skills:
Expertise in NLP and Computer Vision algorithms and state-of-the-art architectures (e.g., Transformers)
Proficiency in Python and TensorFlow and/or PyTorch
Knowledge of the latest LLMs and fine-tuning techniques
Data-driven, pragmatic, and business-oriented approach
Strong ownership and autonomy with excellent team collaboration
Tech Stack
Core ML/AI:
Python, TensorFlow, PyTorch, Hugging Face
LLM-specific:
Autotrain, Unsloth, Galileo, LangChain, Anyscale
Data infrastructure:
Databricks, Spark, AWS (Amazon Redshift, S3), SQL, Airflow, Delta Lake
Our Hiring Process
We warmly encourage you to apply to any of our roles, even if you think you're not an exact match.
Hiring steps:
A 30/45-minute phone call with one of our Tech recruiters to discuss your background, expectations, and the role
A 30-minute technical call with someone from the Data Science team to dive into concrete aspects of your expertise and how it fits our projects
A take-home assignment to demonstrate your technical skills
A 75-minute technical debrief and discussion with the Data Science Team managers
2x45mn STAR interviews with future Mirakl colleagues to discuss our values and culture
We welcome collaborators with their diverse perspectives and experiences to power us forward. These often far exceed conventional job requirements and help us create a culture of continuous learning. If you’re ready to join a global leader powering digital transformation for 450+ of the world’s most innovative retailers and B2B organizations..
We may use Artificial Intelligence (AI) solutions to help streamline our hiring process, including screening applications, analyzing resumes, and assessing responses. While AI helps us work efficiently, all final hiring decisions are made by humans. For more information, visit our AI Guidelines for Candidates and Interviews.
