Requisition ID: FEQ427R217

Sr. Solutions Architect (Lakewatch - EMEA) 

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.

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
• Cloud & Infra : AWS, GCP, Databricks
• MLOps : MLFlow (tracking), Airflow (orchestration), Evidently (monitoring).
• DevOps & Tools : GitHub Actions, Git, Docker, API
• Méthodologie : Agile

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 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 ! 🚀

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers.

MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. 

We are looking to speak to candidates who are based in Paris for our hybrid working model.

As an ideal candidate, you will have:

• 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 designing with scalable and highly available distributed systems in the cloud and on-prem
• Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
• 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

What you do at MongoDB:

In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will:

• Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
• Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders
• Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
• Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events
• Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction
• Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members 
• Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends

What you will learn:

MongoDB Product Suite Mastery:

• Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
• Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
• Relational Migrator: Learn to migrate from relational databases seamlessly

Market-Relevant Technologies:

• Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
• Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes

Modern Architecture Design:

• Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
• Cutting Edge RAG and AI Architectures: Help customers on their generative AI journeys and working with industry leading partners in the space

Sales Techniques and Soft Skills:

• Effective Communication: Master presentations, demonstrations, and whiteboarding
• Client Interaction: Develop strategies for discovery and objection handling

Industry Insights:

• Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries

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 over 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. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

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 is an equal opportunities employer.

Req ID: 426224

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).
• Skills development and mentorship.
• Competitive compensation package (shareholding, bonuses).

OUR COMMITMENT TO INCLUSION AND ACCESSIBILITY

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.

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.
• Package de rémunération attractif (selon barème alternance, bonus mensuels/trimestriels, actionnariat salarié).

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.

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”.

ABOUT YOU

• Master’s degree (engineering, statistics, economics, finance, business)
• Minimum 3 years as a data analyst
• Eagerness to work in a fast-paced environment
• 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.

Qui sommes-nous ?

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.

Qui sommes-nous ?

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.

Qui sommes-nous ?

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 ! 🚀

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 ! 🚀

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.

STACK TECHNIQUE

• Langages : Python (expert), SQL.
• ML/Ops : MLflow, Docker, Kubernetes, CI/CD (exemple : GitHub Actions).
• 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 ! 🚀

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 !

Who we are

The role

At Helsing we develop and deliver AI-based capabilities and the enabling infrastructure that allow semi-autonomous platforms to localise, navigate, and perceive the world in real time. We build software that is subject to significant and unorthodox technical constraints, must operate in a wide variety of constantly-changing environments, and has to support an ever-growing list of challenging use-cases. What we build ultimately ends up in the hands of real people in high-risk, high-stress situations, so must be both reliable and frictionless. Taken together, this brings a whole host of interesting engineering challenges across a wide variety of fields that you’ll help us solve. To give some examples:

• Distributed systems (e.g., intermittent connectivity and byzantine actors)

• Embedded computing (e.g., resource-constrained compute and reverse-engineering)

• Robotics (e.g., control systems and tasking)

• Networking (e.g., long-range low-bandwidth radios and cross-medium routing)

• Deployment infrastructure (e.g., air-gapped devices and heterogenous fleets)

• Security (e.g., data sharing in low-trust, no-TLS networks and actually-secret data handling)

• Machine learning (e.g., systems for model development, storage, and dissemination)

In several of these areas, we are working near the state-of-the-art; we actively read (and sometimes implement) research papers, and often need to push even further to make theory work in practice. In others, we are applying well-known techniques to real-world situations (with real-world limitations) that have never been used in before, which requires skill, diligence, and honing a deep understanding of the underlying technologies.

The day-to-day

• Review code contributions, proposals, and RFCs from colleagues. At Helsing we strongly believe that unblocking others takes precedence over spending more time on your own work.

• Propose and implement new features, capabilities, algorithms, infrastructure, or even full products across our stack. We encourage our engineers to look beyond their immediate team for missed opportunities, and to speak up when they identify one.

• Become a mentor, find a mentee, and help support and develop our interviewing pipeline. The people make or break the company, and we want as many engineers as possible to be part of fostering and growing the organisation.

• Share your experience and technical know-how with other Helsingers. We host tech talks, get together for smaller “let’s learn together” groups, run topical office hours (e.g., on Rust), etc. to help each other get better with time.

• Maintain our existing software stack, including working with internal and external customers to identify issues, improving operational reliability and performance, and fending off technical debt. The stack is a mix of Rust and Python, with Python mainly living in the ML-heavy sections.

• Further develop our tests and benchmarks, both at the micro and macro level. We operate in a domain where robustness is of the utmost importance, and an extensive and ever-improving test suite is key to achieving that. And without thorough benchmarks, we would be flying blind.

• Present your work at our weekly demo sessions. We want engineers to come together around what they are working on and to feel like they are not endlessly squirrelling away at something that doesn’t matter. To that end, we host (and actively work towards) demo sessions that allow early feedback, celebration of progress, and a better shared understanding of everything that goes on at Helsing.

You should apply if you

• Can write legible, maintainable, and performant code.

• Communicate well in English, both verbally and in writing.

• Enjoy collaborating with others, including reviewing code and pair programming.

• Are comfortable working asynchronously (writing PRs and RFCs, having discussions by email).

• Have backend development experience, ideally with a language like Rust, Java, Go, or C++.

• Are familiar with backend interface tools like REST, GraphQL, gRPC/Protocol Buffers, and Arrow.

• Strive to improve yourself, your peers, and the culture you work in over time.

• Feel like ethical considerations are an inherent part of engineering.

Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Nice to have

• Rust and Python specifically.

• Container-based and cloud-native application architectures (e.g., Docker, Azure, AWS).

• Metrics tooling (e.g., Prometheus, Grafana, ELK).

• SQL and streaming database systems.

• Routing protocols (e.g., IGP, BGP).

• Cryptographic protocols (e.g., Signal, WireGuard).

• Hardware interfaces (e.g., Arduino).

• Robotics (e.g., control systems).

• Production ML systems.

Join Helsing and work with world-leading experts in their fields 

• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns. 

• The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world. 

• Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward. 

• In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.  

• We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about. 

What we offer

• A focus on outcomes, not time-tracking

• Competitive compensation and VSOP options

• Relocation support

• Social and education allowances

• Regular company events and all-hands to bring together employees as one team across Europe

• A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one 

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

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

Who we are

The role

Software only matters when it is actively being used and making a difference. As a Deployed AI Engineer, you will be at the heart of this - taking state-of-the-art software and integrating it into complex systems. You will be defining and executing against the end-to-end outcome and all steps on the way to delivering novel capabilities in some of the most challenging environments around.

For example: you collaborate directly with customer avionics engineers to understand the data structures and APIs used in aircraft mission control systems. Instead of being scared, you embrace the complexity of unfamiliar databases, APIs, or network protocols; you dig into the specification and use your creativity and ingenuity to implement adapters for integrating them with Helsing’s cloud infrastructure. By working closely with our partners and customers (both metaphorically and quite literally), you continuously evolve, improve, and operate Helsing software. You own the outcome end-to-end.

The day-to-day

In close collaboration with our product teams, you will discover and formalise customer requirements, identify bugs, and ship the latest features directly to our users. Technology demonstrations are our chance to shine - you will coordinate between customers, partners, and Helsing engineers to showcase Helsing’s software and AI capabilities in simulations or with real systems.

You should apply if you

• Have a degree in computer science, software engineering, electrical engineering, or other relevant fields.

• Have a broad understanding and creative use of computer systems; this is the Swiss army knife in Helsing’s toolbox of world-class talent.

• Prefer asking questions over stipulating answers.

• Love figuring things out, digging deeper and deeper into unfamiliar systems until it finally clicks, and you understand how they work.

• Are not afraid of legacy systems and would rather make them work than give up and try to rewrite it all.

• Are comfortable with scripting languages such as Bash or Python and have experience with software engineering in C++, Java, Rust, or similar.

• Can navigate and configure Linux systems and have an understanding of network stacks and database systems.

• If applying for Germany- it is a requirement that you are able to speak business level or fluent German

Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Nice to have

• Experience with Rust and Python.

• Experience with container-based, cloud-native and edge application architectures.

• Experience with maintaining and operating production systems using Prometheus, Grafana, ELK, or similar.

• Experience with SQL, NoSQL, and streaming database systems.

• Experience with production ML systems.

• Bonus points: you have professional experience working in a defence context.

Join Helsing and work with world-leading experts in their fields 

• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns. 

• The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world. 

• Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward. 

• In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.  

• We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about. 

What we offer

• A focus on outcomes, not time-tracking

• Competitive compensation and VSOP options

• Relocation support

• Social and education allowances

• Regular company events and all-hands to bring together employees as one team across Europe

• A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one 

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

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 the opportunity

We are seeking a Strategy & Operations Manager to act as a trusted partner to the General Manager, with primary responsibility for overseeing and strengthening day-to-day operations in France. 

This role is focused on execution, ensuring that processes run smoothly and operational challenges are resolved quickly and effectively. 

You will play a key role in translating business priorities into clear operational plans, driving accountability across teams and implementing structures that enable N26 to scale in the French market. From improving workflows and resolving any bottlenecks, you will be instrumental in building a reliable, high-performing operation. 

In this role, you will:

• Be responsible for strategic and operational tasks in the areas of Operations, Product, Growth and Regulatory for the French market.
• Drive leading projects end-to-end from initial strategy design to complete execution and ongoing improvement management.
• Facilitate execution through cross-functional tasks and projects ranging from banking operations, data analytics, finance, risk, legal, and local regulation to successfully complete projects.
• Collaborate with a wide variety of teams at N26 to increase product market fit.
• Support the local General manager and French local operations on a daily basis.

What you need to be successful:

Background: 

• You hold a Master’s degree in a quantitative or business discipline such as Finance, Economics, or Engineering, with a strong emphasis on analytical and structured problem-solving.
• Ideally, you have 4–6 years of experience in analytical or strategic operations roles, with a proven track record of managing complex projects and driving operational results.
• Outstanding analytical skills and a structured way of thinking.
• Good understanding of the French market.
• Prior experience in fintech or banking is a plus!

Skills: 

• Data driven; SQL background is a plus.
• Strong hands-on mentality with a focus on execution, and high motivation to take an active role in N26.
• A quick learning ability, outstanding analytical skills and a structured way of thinking, your attention to details is exceptional.
• Open to learn, and interested in understanding and deepening your knowledge of the banking business.
• Proven ability to master new topics and tackle challenges both independently and proactively.
• Fluent communication skills in both French and English.

What’s in it for you:

• Accelerate your career growth by joining one of Europe’s most talked about disruptors 🚀.
• Employee benefits that range from a competitive personal development budget, work from home budget, discounts to fitness & wellness memberships, language apps and public transportation. 
• As an N26 employee you will have access to a Premium subscription on your personal N26 bank account. As well as subscriptions for friends and family members.    
• Additional day of annual leave for each year of service.  
• A high degree of autonomy and access to cutting edge technologies - all while working with a friendly team of peers of diverse nationalities, experiences, and backgrounds. 
• A relocation package with visa support for those who need it.

Who we are

N26 has reimagined banking for today’s digital world. Technology and design empower everything we do and it’s how we are building the global banking platform the world loves to use.

We've eliminated physical branches, paperwork, and hidden fees for an elegant digital experience and supreme savings. Giving people the power to live and bank their way is what gets us out of bed in the morning and inspires the work that we do. 

We are headquartered in Berlin with offices in multiple cities across Europe, including Vienna and Barcelona, and a 1,500-strong team of more than 80 nationalities. 

Do you see yourself thriving in this role? We’d love to see your application even if you don’t meet 100% of the criteria. You may just be the right fit for this or other roles!

Equal opportunities for all

At N26, we believe our strength lies in our people and the varied perspectives they bring. We strive to build diverse teams that drive innovation and business success. We actively seek talent from all backgrounds and welcome applications from all genders, cultures, sexual orientations, abilities, neurodiversities, and ages.

We are committed to providing an excellent and accessible candidate experience. If you require any accommodations to make this process work for you, please let us know. We’re here to support you!

Discover more about Diversity & Inclusion at N26: https://n26.com/en-eu/diversity-and-inclusion

Real ownership. Real impact. Build from day one.

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.

In a nutshell 

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 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

About the job

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.

 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 

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.

What we Offer

• Office-based role in Paris (9th arrondissement)
• Competitive salary
• Employee stock options plan
• Private medical insurance
• Life and critical illness cover
• Best-in-class equipment
• Monthly credit towards Wheely journeys
• Daily Lunch Allowance
• Navigo and Veligo travel
• Professional development stipend

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.

Your technical environment:

• Languages: SQL, Python (pandas, numpy, scikit-learn)
• BI Tools: Tableau
• Data Engineering: dbt, Databricks
• Cloud Platforms: AWS (S3, redshift), cloud provider AWS
• Versioning & DevOps: Git, CI/CD, VSCode

WHAT YOU'LL BRING

• 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
• Attractive compensation package (profit-sharing, quarterly bonuses, employee stock ownership)

If you want to shape the future of Supply Chain through data — join us!

Who are we?

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

Tools you'll work with: Snowflake, dbt (Data Build Tool), Tableau, Metabase, Git, Dust

Role Objectives

First 3 months:

• 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.

3. Final round with Julien Molez (N+2)

— 45 minutes – remote (video)

— Purpose: Leadership validation, strategic alignment, long-term potential

Who are we?

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 7 consecutive years in the Financial Times FT1000, among the fastest-growing European companies
• An NPS of 87.5 — an exceptional score in our industry

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.
• iBanFirst is profitable and backed by long-term investors: Xavier Niel, Bpifrance, and Marlin Equity Partners.

Joining iBanFirst means joining a profitable, international, fast-growing tech company where operational excellence meets technological ambition.

The Role

Recruitment Context

We are opening this position to support the continued growth of our Back Office team. As our transaction volumes expand across Europe, we need a senior operator who can handle the most complex payment and FX operations with full autonomy, ensure our regulatory control framework meets the highest standards, and contribute to the continuous improvement of our processes.

Manager & Team

You will report to Marc Lippler, Head of Back Office, with iBanFirst for 6 years.

The Back Office team is currently based in Brussels (Avenue Louise, Ixelles), embedded in an office of 25 people. You'll work closely with Finance, Compliance, Technology, Treasury, and banking partners across Europe.

The role can be based in Brussels (Avenue Louise), Paris (Porte Maillot) or London (The City).

What will you do?

As a Senior Back Office Analyst, you are the expert in the room. You handle the most critical operations with precision and autonomy, act as the escalation point for complex cases, and drive improvements that make the team more efficient and resilient.

Task breakdown:

• 40% — Production & daily operations: Executing and controlling the most complex payment flows, FX settlements, and safeguarding controls
• 60% — Control, projects & process improvement: Strengthening the control framework, driving automation and data-driven monitoring

Key responsibilities:

Production & Operations:

• Execute and validate domestic and cross-border payments (SWIFT, SEPA, TARGET2, FPS, etc.) with full command of edge cases and exceptions
• Monitor and settle FX trades with liquidity providers; manage collateral requirements
• Perform daily safeguarding controls and ensure full compliance with regulatory requirements on client fund protection
• Lead breaks investigation and resolution — own complex reconciliation issues from identification to closure
• Handle exceptional liquidity line decisions and high-impact operational issues
• Process RMA requests and liaise with banking partners via SWIFT and other channels
• Provide expert operational support to the Front Office on payment and FX issues

Control & Improvement:

• Approve exceptional cases outside standard procedures; make sound judgment calls on complex operational scenarios
• Oversee regulatory compliance and reporting requirements
• Use data tools (Metabase, Grafana, SQL, Power BI) to monitor operations, identify anomalies, and improve controls
• Lead or contribute to automation and process improvement projects
• Liaise with Risk, Product, Treasury, and Finance teams on operational matters

Role Objectives

First 3 months:

• Operate autonomously across all standard and complex payment and FX operations
• Build a solid understanding of our control framework, regulatory environment, and internal tools
• Identify first improvement opportunities

First 6 months:

• Be the go-to expert for complex operational scenarios and escalations
• Lead or co-lead at least one process improvement or automation initiative
• Contribute meaningfully to the team's control and reconciliation framework

First 12 months:

• Drive measurable improvements to operational efficiency and control quality
• Be a fully trusted senior member of the team, supporting the Head of Back Office on governance matters
• Have delivered at least one significant automation or monitoring project

What do you bring?

Experience:

• 4–5 years of experience in Back Office operations, payment operations, or financial operations in a fintech, bank, or payments company
• Solid understanding of payment schemes (SWIFT, SEPA, TARGET2, FPS…), FX settlement, and safeguarding regulations

Must-have skills:

• Fully autonomous — you take ownership of your scope, operate independently, and know how to move forward without waiting to be told
• Rigor and structure — meticulous in controls and documentation, high stress resilience
• Data-driven — comfortable with SQL, Power BI, Metabase, or Grafana to monitor, analyse, and improve
• Problem-solving mindset — you dig into breaks and incidents and don't stop until they're resolved
• Ethics and integrity — non-negotiable in a regulated financial environment
• Excellent communicator — at ease with internal stakeholders across Finance, Risk, Compliance, and Technology
• Fluent in English (working language); French and/or Dutch is a plus

Nice to have:

• Experience with automation tools or workflow improvement projects
• Familiarity with safeguarding requirements under PSD2/EMD
• Knowledge of Metabase or Grafana

What do we offer?

• Permanent contract
• Office location: Brussels (Avenue Louise), Paris (Porte Maillot) or London (The City) — your choice

Why this is a great opportunity:

• Work at the operational and technical heart of a fast-growing European fintech — Back Office here is strategic, not just transactional
• Complexity and real ownership — you handle the hardest cases, make critical decisions, and have a direct impact on client experience and regulatory standing
• Be a force for change — room to improve processes, propose automation, and shape the way the team works
• Flat hierarchy — direct access to leadership; everyone talks to everyone
• Fast learning in a genuinely international environment across 14 European offices

Compensation & Benefits (may vary by country):

• Base salary: €55,000 – €65,000 gross annual, depending on experience
• Public transport reimbursement
• Meal vouchers
• AXA group health insurance
• Pension plan
• Phone subscription
• Gym pass
• Participation in company-wide events, team offsites, and 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 Marc Lippler (Head of Back Office) — 1 hour – in-person (Brussels preferred) — Purpose: Technical expertise, operational experience, autonomy, team fit
3. Final round with Julien Molez (Chief Operations Officer, N+2) — 45 minutes – – in-person (Paris) or remote (Teams) — Purpose: Strategic alignment, leadership validation, long-term potential

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.

• Bon niveau en anglais, écrit, oral

STACK TECHNIQUE

• Langages & Frameworks : Python (Pandas, Scikit-learn), SQL, Spark / PySpark.

• Environnement : Databricks, Jupyter Notebooks, Git, MLflow.

• Outils Analytics : Statsig, Amplitude, Tableau.

• Bonus : TensorFlow, PyTorch.
  
  

CE QUE NOUS T’OFFRONS

• Organisation de travail hybride ;

• 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.

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.

TECHNICAL STACK

• Languages & Frameworks : Python (Pandas, Scikit-learn), SQL, Spark / PySpark.

• Environnement : Databricks, Jupyter Notebooks, Git, MLflow.

• Analytics Tools : Statsig, Amplitude, Tableau.

• Bonus : TensorFlow, PyTorch.

WHAT WE OFFER

• Hybrid work organization;
• Equipment provided in line with your missions and our societal commitments (Mac or Windows);
• A local project team within a global network (international career opportunities);
• Skills development and support (diversity of projects, internal and external training, etc.);
• Remuneration package (employee shareholding, monthly/quarterly bonuses).
  
  

OUR COMMITMENT TO INCLUSION AND ACCESSIBILITY

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.

Job Description

The PM - Payment Netowrk is a technical role within the Product team dedicated to maximizing the health and efficiency of Mangopay’s payment processing network. As our payments volume grows, this role ensures that our technical performance matches our innovative product suite.
You will also work closely with our payments partners to ensure all Mangopay clients are compliant with card processing standards.

Roles & Responsibilities:

Authorization & Performance Excellence

• KPI Management: Own the optimization of authorization rates, fraud-to-sales, and chargeback performance through advanced data monitoring and performance tuning.
• Issuer and payment partner Liaison: Manage relationships with key ecosystem participants and issuers to troubleshoot authorization bottlenecks and improve global acceptance rates.
• Deep-Dive Analytics: Utilize internal data tools to identify systemic improvements in the payment path, reducing friction for merchants and cardholders.

Technical Data Integrity & Mandates

• Data Stewardship: Oversee processes ensuring that clearing and settlement data across our network meets the highest levels of accuracy and scheme compliance.
• Technical Execution: Lead the technical implementation of specific card processing needs for 3DS, tokenization, and authorization messaging, partnering with Product teams to ensure timely delivery.
• Roadmap Management: Track and socialize technical deadlines for payment partner-driven changes, ensuring Mangopay’s infrastructure is prepared for upcoming industry shifts.

Technical Governance & Security Compliance

• PCI-DSS Leadership: Manage the end-to-end validation process for merchant SAQ and RoC submissions, ensuring the continued security of our processing environment.
• Compliance Reporting: Submit bi-annual technical reports and manage the relationship with Qualified Security Assessors (QSAs) during recurring audits.
• Incident Response Coordination: Provide technical expertise during security reviews or breach response scenarios, ensuring all scheme reporting obligations are met with precision.

Experience

You are recognised for:

• 5+ years of experience in technical payment operations, payment engineering, or technical compliance for a major PSP or global acquirer.
• Technical Breadth: Deep understanding of ISO 8583, 3D Secure frameworks, and the technical mechanics of the authorization and settlement lifecycle.
• Security & Compliance Expertise: Strong background in PCI-DSS governance and a history of successfully managing technical audits.
• Data-Driven Problem Solving: Expert ability to monitor and analyze payment performance data; professional experience with SQL and Snowflake is required.
• Cross-Functional Influence: Proven ability to lead complex technical projects that require collaboration between Treasury, Engineering, and Security teams.
• Relevant Certifications: PCIP, CISA, or similar technical certifications are a plus.

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)                                                                                                                                                                                          

Nice to Have:                                                                                                                                                             

• Supply/demand or geo-based analytics experience                                                                                                                         
• Growth marketing analytics (SEM, paid social, performance channels)
• 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.

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)                                                                                                                                                                                          

Nice to Have:                                                                                                                                                             

• Supply/demand or geo-based analytics experience                                                                                                                         
• Growth marketing analytics (SEM, paid social, performance channels)
• 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.

The Team You'll Join

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.

1. 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.
2. An initial call with the recruiter
3. Case study + debrief with your future colleagues
4. Values interview with your future manager

The STAR method and structured interviews will hold no secrets for you.

The Team You'll Join

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.

1. 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.
2. An initial call with the recruiter
3. Case study + debrief with your future colleagues
4. Values interview with your future manager

The STAR method and structured interviews will hold no secrets for you.

The Team You'll Join

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.

1. 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.
2. An initial call with the recruiter
3. Case study + debrief with your future colleagues
4. Values interview with your future manager

The STAR method and structured interviews will hold no secrets for you.

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.

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.

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.

Join Proton and build a better internet where privacy is the default

Proton was founded in 2014 by scientists from CERN on a simple truth: privacy is a fundamental human right. Since then, we’ve built the world’s largest encrypted email service (Proton Mail) and expanded into Proton VPN, Proton Drive, Proton Pass, and Proton Calendar—tools used by millions globally to protect their freedom, fight censorship, and keep their data safe. In some situations, Proton has literally helped save lives!

We are profitable, independent (no VC control), and selectively hire from the top ~1% of applicants. Our 500+ team members across 50+ countries come from leading organizations and elite academic backgrounds. We move fast, keep hierarchy light, and prioritize impact over optics. If you want to do meaningful work with exceptionally high-caliber people, this is it. Join us and do work you can truly be proud of. Check our open-source projects here!

Purpose of the role

As a Backend Engineer in Marketing Technology you will be responsible for building our key components of our marketing technology stack. You will drive software design and implementation likewise while helping a newly formed cross-functional team. You will interact with key stakeholders in the Business Units, Software Development, Marketing, Sales and more to understand requirements and use cases while keeping the bigger picture in mind.

If you’re a self starter and results-driven backend engineer, and you thrive in a fast-paced environment, this is a great opportunity to play a pivotal role in a fast-growing company. You will have a concrete impact on the future of the business as a whole.

What you will do

• Research, plan, scope, evaluate and implement our MarTech stack using Python and PHP

• Help and train the engineers of our business units to integrate sdk's we provide

• Own MarTech maintenance, including updates, enhancements, security, and privacy of the systems

• Help teams identify where technology can help increase conversion, efficiency and user experience

• Be a point of contact when it comes to technical solutions in the MarTech space and be the key person when it comes to technical questions about the stack

Job requirements

• Demonstrable experience in building high-quality systems

• Experience building scalable solutions with Python or PHP

• Solid understanding of SQL

• Solid understanding of HTTP/REST, including both developing and consuming Web-based APIs

• Proven capability in integrating different in-house built systems with off the shelf products

• A curious, passionate, and growth-oriented mindset

• Strong interpersonal and communication skills. Ability to build strong relationships with cross-functional stakeholders and influence at all levels of the organisation

• Proven ability to manage multiple projects and priorities, and deliver high-quality software solutions on time and on budget

• Ideally you already had some touchpoints with marketing technology in the past.

What We Offer

• Work that Matters: millions of people trust Proton with their privacy. We answer only to our users — not advertisers, not investors with conflicting agendas, not governments. The work you do here is real, and the impact is measurable. (read more about our impact here)
• Work with smart and dedicated people - Our team is diverse, collaborative, and tight-knit with people coming from all walks of life, including many of the world’s top academic institutions and organizations, such as MIT, Harvard, Stanford, Caltech, Cambridge, and ETH.
• Technology: you'll get the right hardware and the right software you need to do your best work.
• Learning & Development: we invest in your growth because sharp people make us better. Proton is one of the fastest ways to accelerate your career because you'll be thrown into real challenges, with real ownership, from day one.
• Employee Benefits: your wellbeing isn't an afterthought. We offer strong health coverage, solid retirement options, generous leave, and wellness support so you can bring your best self to work every day
• Stock Options: at Proton, we all have the opportunity to be owners of the company. From day one, you have a real stake in what we're building. When Proton wins, you win.
• In-Person Collaboration: Amazing things happen when passionate, smart, and purposeful people get together in the same room. With offices across Geneva, Zürich, Barcelona, London and more, you'll spend most of your time collaborating face-to-face with people who genuinely care about what they're building
• Food: Lunch and snacks are on us every day in our offices so you can focus on the work and not on what's for lunch.
• Transport: getting to the office shouldn't cost you. We cover public transport, bike allowances, or parking, whichever works for you.
• Flexible Working: you own your schedule. Set hours that work for you and your team — because outcomes matter more than when the clock says you started.

Our Commitment to Diversity and Inclusion

At Proton, we believe diversity drives innovation and strengthens our mission to provide privacy as a default for all. We are committed to fostering an inclusive environment where all individuals, regardless of race, ethnicity, gender, age, sexual orientation, physical ability, or socio-economic background, feel valued and empowered. We strive to create equal opportunities, promote open dialogue, and support continuous learning to ensure every voice is heard and respected.

If you need any extra support or reasonable adjustments during the hiring process, please let your talent partner know.

Candidate Privacy Notice

When you apply for a position, refer a candidate, or are considered for a role at Proton Technologies AG (Proton, we, us, or our), your information is stored in Greenhouse, in accordance with their Service Privacy Policy. This information is used to evaluate your suitability for the posted position. We also retain this information for consideration for future roles that you may apply for or that we believe may align with your background and skills.

If we no longer have a legitimate business need to process your information, we will either delete or anonymize it. Should you have any inquiries about how we use or manage your information, or if you wish to access, correct, or delete your data, please contact our privacy team at careers@proton.ch.

Proton does not accept unsolicited resumes from any sources other than directly from candidates. We will not pay a fee for any placement resulting from an unsolicited offer, even if the candidate is subsequently hired by Proton.

To learn more about our privacy policy, please visit our privacy policy page.

#LI-ONSITE

Join Proton and build a better internet where privacy is the default

At Proton, we believe that privacy is a fundamental human right and the cornerstone of democracy. Since our inception in 2014, founded by a team of scientists from CERN, we have dedicated ourselves to providing free and open-source technology to millions worldwide, ensuring access to privacy, security, and freedom online.

Our journey began with Proton Mail, the largest secure email service globally, and has since expanded to include Proton VPN, Proton Calendar, Proton Drive, and Proton Pass. These tools empower individuals and organizations to take control of their personal data, break away from Big Tech’s invasive practices, and defeat censorship. Our work impacts hundreds of millions of lives, from activists on the front lines defending freedom to leaders in governments protecting sensitive information. In some cases, Proton’s services have even been instrumental in saving lives by enabling secure and private communications in high-risk situations.

Proton is a profitable company that does not rely upon VC funding, supporting over 100 million user accounts with a growing team of over 500 people from over 50 different countries, from the world's top companies and universities. We value intelligence, learning potential, and ambition in our hiring process. Adaptability is key as we navigate uncharted territories and redefine how business is conducted online.

Hiring at Proton is highly selective, with less than 1% of candidates hired. We believe smaller teams of exceptional talent will always prevail over larger teams with lower talent density. You will have the opportunity to work with many of the world's top minds in their fields, ranging from former international math and science olympiad winners to chess champions.

We have a global mindset and big ambitions but remain a start-up at heart. We value empowerment and flexibility and keep our structure flat to keep moving fast and avoid unnecessary politics. Tired of blending into the crowd? Join us and do work you can truly be proud of. Check our open-source projects here!

Purpose of the role:  

Proton continues to grow rapidly as increasing numbers of people across the globe seek greater privacy controls of their information online. To accelerate our growth, we are seeking a senior leader to drive engineering for one of our many existing or upcoming Products.

We are seeking a Director of Engineering to one of our existing or upcoming Products. This role involves setting and executing technical strategy, team management, and working closely with your senior product managers counterparts, to ensure high-velocity delivery of new products.

As a key member of the engineering leadership team, you will shape the company’s technical strategy and contribute to Proton’s mission of creating a privacy-centric internet. Each product will have its unique challenges and areas of focus, nevertheless we require all Engineering Directors for our Products to have a demonstrated track record of building and scaling customer facing applications, in either a B2C or B2B context, for millions of users, across multiple platforms (mobile, desktop, backend systems and platforms).

In addition to technical expertise, Engineering Directors as senior leaders within Proton, have excellent communication skills, a business mindset, and a strong sense of empathy for the end customers.

What you will do:

• Setting technical direction and vision for one of our Products
• Lead technical design and platform discussions
• Drive continuous improvement in our DevSecOps practices, and improve lead times and time to market while maintaining exceptional standards of product quality
• Hold yourself and team accountable for timely delivery of scalable, quality-focus user experiences and features
• Develop efficient processes, and motivate your team to operate with high velocity, ownership, and accountability
• Lead through others, and develop the next generation of engineering leaders at Proton
• Inspire, coach, and develop your teams
• Optimize your organizational structure, and continuously raise the bar on hiring
• Build strong relationships with senior leaders, and advance your long-term platform and engineering vision
• Contribute to Proton's technology and open source communities
• Foster an inclusive and diverse environment for your team to show up and give their best each day

Our Tech stack:

• Applied cryptography (PGP, TLS, etc.)
• REST APIs
• Event architectures 
• HTTP networking
• SQL, Redis
• PHP (Symfony), Rust, Python
• iOS, macOS (Swift)
• Android (Kotlin, Jetpack)
• Web (Typescript, React)
• Desktop (C#, Swift)
• Infrastructure: MySQL / Ceph

We need you to have:

• Experience in software engineering in progressively complex roles
• Experience directly leading and managing engineers
• Demonstrable experience as a manager of managers
• A history of collaboration with senior leaders in engineering, product on developing technical and product strategy
• Great empathy and collaboration skills, and even greater resilience
• A curious, passionate, and growth-oriented mindset
• Deep experience as a hands-on software engineer creating well-crafted, maintainable systems
• Mobile-first background (ideally former mobile developer)
• Practical experience leading DevOps and SRE initiatives and driving best practices
• Experience with cryptography preferred
• Bonus points for each of the following:

• • Experience with performance tuning and scaling across client, backend, infrastructure
  • Working closely with C-level executives to align on direction, vision and execution
  • Having both, the experience of operating at global scale with millions of customers but also thriving in the chaotic growth phase of scaling up to reach it.

What We Offer

• Office First: Collaboration is easier and more effective in person, which is why we have offices in Geneva, Zurich, Prague, Barcelona, Paris, London, Vilnius, Skopje, and Taipei. You can also enjoy working from home up to 30% of the time, while enjoying great company during our three core days in the office. 
• Technology: We provide all the devices and software you need to excel in your role, ensuring you have the best tools at your disposal to achieve your goals.
• Food: Lunch and snacks are provided by Proton every day at our offices.
• Transport: We will always support our employees with transport costs through subsidizing public transport, bike allowances, or parking spaces based on your office location.
• Stock Options: At Proton, we are all owners of the company and you get stock options when you join us.
• Flexible Working: You can define your own working hours as long as it works with team meetings.
• Learning and Development: We are committed to your professional growth. Proton offers various learning opportunities, including training programs, conferences and events, and continual learning.
• Employee Benefits: Comprehensive health insurance plans, competitive retirement savings options, generous vacation and leave policies, and wellness programs.
• Work that Matters: Proton is a community-first organization, started with the support of a crowdfunding campaign and built with community input. To this day, Proton’s only source of revenue is user subscriptions. Over 100 million people trust and support Proton, and we put our users and community first in everything we do. Read more about our impact here.

Our Commitment to Diversity and Inclusion

At Proton, we believe diversity drives innovation and strengthens our mission to provide privacy as a default for all. We are committed to fostering an inclusive environment where all individuals, regardless of race, ethnicity, gender, age, sexual orientation, physical ability, or socio-economic background, feel valued and empowered. We strive to create equal opportunities, promote open dialogue, and support continuous learning to ensure every voice is heard and respected.

If you need any extra support or reasonable adjustments during the hiring process, please let your talent partner know.

Candidate Privacy Notice

When you apply for a position, refer a candidate, or are considered for a role at Proton Technologies AG (Proton, we, us, or our), your information is stored in Greenhouse, in accordance with their Service Privacy Policy. This information is used to evaluate your suitability for the posted position. We also retain this information for consideration for future roles that you may apply for or that we believe may align with your background and skills.

If we no longer have a legitimate business need to process your information, we will either delete or anonymize it. Should you have any inquiries about how we use or manage your information, or if you wish to access, correct, or delete your data, please contact our privacy team at careers@proton.ch.

Proton does not accept unsolicited resumes from any sources other than directly from candidates. We will not pay a fee for any placement resulting from an unsolicited offer, even if the candidate is subsequently hired by Proton.

To learn more about our privacy policy, please visit our privacy policy page.

#LI-ONSITE

Join Proton and build a better internet where privacy is the default

Proton was founded in 2014 by scientists from CERN on a simple truth: privacy is a fundamental human right. Since then, we’ve built the world’s largest encrypted email service (Proton Mail) and expanded into Proton VPN, Proton Drive, Proton Pass, and Proton Calendar—tools used by millions globally to protect their freedom, fight censorship, and keep their data safe. In some situations, Proton has literally helped save lives!

We are profitable, independent (no VC control), and selectively hire from the top ~1% of applicants. Our 500+ team members across 50+ countries come from leading organizations and elite academic backgrounds. We move fast, keep hierarchy light, and prioritize impact over optics. If you want to do meaningful work with exceptionally high-caliber people, this is it. Join us and do work you can truly be proud of. Check our open-source projects here!

The Payments Team

The goal of the Payments team is to enable revenue generation for the entire Proton ecosystem. This comes in the form of introducing new payment methods for users to architecting our client libraries. This team has impact across all of Proton's products and is critical to the success of the business as a whole.

• As Proton is a global Company, the Payments Team works to continuously expand the possibilities for users to pay with various payment methods, beyond just plain credit cards or Paypal.
• The team works in tight collaboration with the Account Team (responsible for the Proton user lifecycle), the Proton Finance team, and every single Business Unit to ensure that plans, promotions and pricing meet user expectations.
• The mission of the team is to empower anyone in the world who wish to use Proton services, to become a Proton subscriber by building enticing interfaces, being able to progressively reach global markets, by providing the methods and tooling allowing users to pay, and for the Proton organization to properly being able to measure growth, and to follow the relative financial regulations

Tech Stack and Tools:

• Differently than many other stacks at Proton, the Payments stack depends largely on external services such as payment providers, tax-information providers, currency-conversion providers... As such it is critical, for the success of the service, to build with resilience.
• Internally our backend code is in general based on PHP/Symfony, our frontend is based on React, our mobile code is based on Kotlin (on Android) and on Swift (on iOS), with a growing shared codebase in Rust.
• All our client-code is open-source and GPL3.
• We are migrating our infrastructure to Kubernetes.
• Everything runs on premise in Proton's data-centers.
• To organize our work we use classic tools such as Jira and Confluence.

Future Plans:

• With payments being the backbone of any subscription business, we have ambitious plans to expand the team to cover a wide breadth of topics ranging from demystifying payment performance data across regions/products, to thinking about the holistic strategy of product catalogs, and everything in between. This particular team requires someone who is a strong generalist, who thrives with ambiguity. There's huge potential for growth no matter the domain, and the outcome for any candidate is an in-depth view into how money moves globally.

What you will do:

• Build features in all of Proton's products.
• Close interactions with products and engineers across the company.
• Build scalable software architecture through software engineering best practices.
• Optimise user experience and design.

Job requirements:

• Proven experience with back-end development 
• Expertise in building scalable, high-performance solutions
• Proficiency with profiling techniques and performance optimization tools
• Experience leading a team initiative from discovery to production
• Strong understanding of SQL (MySQL preferred) and data modeling best practices
• Familiarity with Redis or other caching technologies for performance optimization
• Knowledge of security best practices and experience implementing secure software solutions
• In-depth understanding of HTTP/REST, including both the development and consumption of web-based APIs
• Solid grasp of cryptographic concepts, including key exchange, and the distinction between symmetric and asymmetric encryption

Bonus points for: 

• Experience within the payments domain

Even if you don’t meet all the requirements listed above, but feel you could still be a great fit, please still apply.

What We Offer

• Work that Matters: millions of people trust Proton with their privacy. We answer only to our users — not advertisers, not investors with conflicting agendas, not governments. The work you do here is real, and the impact is measurable. (read more about our impact here)
• Work with smart and dedicated people - Our team is diverse, collaborative, and tight-knit with people coming from all walks of life, including many of the world’s top academic institutions and organizations, such as MIT, Harvard, Stanford, Caltech, Cambridge, and ETH.
• Technology: you'll get the right hardware and the right software you need to do your best work.
• Learning & Development: we invest in your growth because sharp people make us better. Proton is one of the fastest ways to accelerate your career because you'll be thrown into real challenges, with real ownership, from day one.
• Employee Benefits: your wellbeing isn't an afterthought. We offer strong health coverage, solid retirement options, generous leave, and wellness support so you can bring your best self to work every day
• Stock Options: at Proton, we all have the opportunity to be owners of the company. From day one, you have a real stake in what we're building. When Proton wins, you win.
• In-Person Collaboration: Amazing things happen when passionate, smart, and purposeful people get together in the same room. With offices across Geneva, Zürich, Barcelona, London and more, you'll spend most of your time collaborating face-to-face with people who genuinely care about what they're building
• Food: Lunch and snacks are on us every day in our offices so you can focus on the work and not on what's for lunch.
• Transport: getting to the office shouldn't cost you. We cover public transport, bike allowances, or parking, whichever works for you.
• Flexible Working: you own your schedule. Set hours that work for you and your team — because outcomes matter more than when the clock says you started.

Our Commitment to Diversity and Inclusion

At Proton, we believe diversity drives innovation and strengthens our mission to provide privacy as a default for all. We are committed to fostering an inclusive environment where all individuals, regardless of race, ethnicity, gender, age, sexual orientation, physical ability, or socio-economic background, feel valued and empowered. We strive to create equal opportunities, promote open dialogue, and support continuous learning to ensure every voice is heard and respected.

If you need any extra support or reasonable adjustments during the hiring process, please let your talent partner know.

Candidate Privacy Notice

When you apply for a position, refer a candidate, or are considered for a role at Proton Technologies AG (Proton, we, us, or our), your information is stored in Greenhouse, in accordance with their Service Privacy Policy. This information is used to evaluate your suitability for the posted position. We also retain this information for consideration for future roles that you may apply for or that we believe may align with your background and skills.

If we no longer have a legitimate business need to process your information, we will either delete or anonymize it. Should you have any inquiries about how we use or manage your information, or if you wish to access, correct, or delete your data, please contact our privacy team at careers@proton.ch.

Proton does not accept unsolicited resumes from any sources other than directly from candidates. We will not pay a fee for any placement resulting from an unsolicited offer, even if the candidate is subsequently hired by Proton.

To learn more about our privacy policy, please visit our privacy policy page.

#LI-ONSITE

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.

Programme duration: from 5 to 6 months, starting in 2026.   

Who qualifies: Penultimate or final year students completing a Bachelor's, Master's.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.  

Over the years, QRT has invested in a global research and execution platform which has been deployed to cover all geographies and asset classes. This platform covers a broad spectrum from high to low frequency trading systems. We thrive at the intersection of cutting-edge technology, smart automation, and scalable processes, enabling us to move fast, think big, and deliver at scale.   

We are committed to identifying and developing exceptional talent, and are inviting a new cohort of outstanding individuals to join us in the year ahead. Our internship offers a stimulating, intellectually rigorous, and high-performance environment, where collaboration is key to success. You will work alongside and be mentored by industry-leading professionals, gaining invaluable experience and positioning yourself for the opportunity to secure a full-time graduate role upon successful completion of the program. 

Your future role at QRT  

Throughout the recruitment process, we will work to align your skills, interests, and potential with the teams where you can make the greatest impact. As part of QRT’s data teams, you will work at the heart of our research and trading operations - designing, building, and managing the data solutions that underpin our strategies. You will collaborate closely with Traders, Researchers, and Engineers to ensure our data infrastructure is robust, scalable, and able to power cutting-edge quantitative research. Your work will involve tackling complex challenges in data acquisition, engineering, and platform design. 

Examples of potential roles and projects include: 

• Quantitative Data Analyst 

Source, design, and onboard new datasets in line with priorities set by trading desks. Support data integration into trading systems, propose data-driven solutions to unlock new research opportunities, and manage the full lifecycle of data sourcing projects, from acquisition and exploration to design. Collaborate with Data Engineers to bring datasets into production at scale. 

• Data Engineer 

Manage extensive datasets across QRT’s research and trading platforms. Design and implement data stores and APIs, monitor the health and performance of data processes, and deliver production-ready datasets. Provide direct support to Researchers and Traders to ensure they can fully leverage the capabilities of our data platform. 

• Data Platform Engineer 

Build and maintain the large-scale data infrastructure that powers our research environment. Focus on the ingestion, processing, and serving of data for both real-time and batch workflows, ensuring the platform operates with low latency and high availability. Continuously monitor and optimize system performance to handle growing volumes of complex datasets efficiently. 

Your present skillset  

• Strong core computer science foundations, including algorithms, data structures, parallel programming, and object-oriented programming (OOP). 

• Genuine interest in software engineering, infrastructure, or data engineering within a low-latency environment, working in Python.

• Interest to build expertise in high-performance, real-time trading systems 

• Excellent communication and analytical skills - you will interact directly with Traders and Researchers  

• Drive for rapid autonomy and the ability to work in a fast-paced, high-performance setting. 

• Rigorous and structured approach to problem-solving. 

Preferred qualifications (a plus): 

• Knowledge of databases such as SQL or NoSQL. 

• Experience in front-end development. 

• Interest in financial markets and/or algorithmic trading. 

Interview Process: 

• Application - Submit your application online. We review applications on a rolling basis, so we recommend applying early to maximize your chances. 

• Technical Assessment - Selected candidates will be invited to complete a coding challenge designed to evaluate core technical and problem-solving skills. 

• Interviews - Shortlisted applicants will proceed to interviews, conducted either on-site or via Microsoft Teams. These will assess both your technical expertise and your alignment with our culture and values. 

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.  

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, cliquez ici. Veuillez contacter hr.dataprivacy(at)doctolib.com pour toute question ou pour exercer vos droits.

The Team You'll Join

Your Impact

• 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

• 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

• 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

• Python, TensorFlow, PyTorch, Hugging Face

• Autotrain, Unsloth, Galileo, LangChain, Anyscale

• Databricks, Spark, AWS (Amazon Redshift, S3), SQL, Airflow, Delta Lake

Our Hiring Process

1. A 30/45-minute phone call with one of our Tech recruiters to discuss your background, expectations, and the role
2. 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
3. A take-home assignment to demonstrate your technical skills
4. A 75-minute technical debrief and discussion with the Data Science Team managers
5. 2x45mn STAR interviews with future Mirakl colleagues to discuss our values and culture

The Team You'll Join

Your Impact

• 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

• 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

• 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

• Python, TensorFlow, PyTorch, Hugging Face

• Autotrain, Unsloth, Galileo, LangChain, Anyscale

• Databricks, Spark, AWS (Amazon Redshift, S3), SQL, Airflow, Delta Lake

Our Hiring Process

1. A 30/45-minute phone call with one of our Tech recruiters to discuss your background, expectations, and the role
2. 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
3. A take-home assignment to demonstrate your technical skills
4. A 75-minute technical debrief and discussion with the Data Science Team managers
5. 2x45mn STAR interviews with future Mirakl colleagues to discuss our values and culture