Lead Software Engineer - Paris

Artefact

WHO WE ARE Artefact is a French consulting and engineering firm specializing in data and AI, and a leader in Europe. Headquartered in Paris, we are now present in 23 countries across all continents, with a team of 1,700 employees. Our mission is to help businesses unlock the full potential of AI and data by developing tailor-made solutions that address their specific industry challenges. As pioneers in this field, we combine technological expertise with operational excellence, working alongside the world's leading market players. Our clients span all key economic sectors - industry, retail, luxury, consumer goods, healthcare, and finance - and include major international corporations. THE DATA ANALYTICS TEAM You will join our Data Analytics Chapter, a team of 60 professionals with expertise across dashboarding, analytics engineering, marketing measurement, and low-code data science. We are one of three technical teams at Artefact (alongside Software Engineering and Data Science), forming a tech community of 160 people. Despite working on different client engagements, we maintain a strong culture of knowledge sharing through dedicated communities of practice. We are growing fast, with the ambition to double our team size over the next five years.   WHAT YOU WILL BE DOING: KEY RESPONSIBILITIES As a Data Analytics Manager, your role will encompass: Deliver the highest standards of quality on Data marketing projects * Pilot multidisciplinary teams (consultants, data scientists, data analysts, software engineers, media traders) * Develop robust, industry-leading measurement and analytics projects that enable clients with visibility across physical and digital customer journeys (online and offline) * Planning, leading and delivering advanced analytics strategy and solutions for clients including e-commerce, 3rd party tool implementations, and advanced modeling. * Identify and support the delivery of suitable statistical data analysis techniques, to provide recommendations for clients which exceed performance expectations and maximizes ROI * Explore automation techniques that create efficiencies and improve ROI (both internally and for clients) such as scripting, tool development or better client reporting methods * Act as an internal consultant on analytics for significant projects, helping other teams to shape the very best solutions * Lead through the ‘pitch ownership’ and by taking an ‘analytics lead’ role on new business pitches Data Marketing and Analytics leadership * Lead data analytics development, defining and communicating a clear strategy for the team and the value it will add to the agency * Work together with the data consultants to champion analytics development and associated platforms on three fronts – internally to the agency, externally to clients and to represent Artefact’s position to the wider marketing community * Lead and develop roadmaps for our analytics offering, process, and techniques and develop best practice documentation * Develop review and sign off processes to ensure analytics work is always of the highest possible quality * Responsible for Artefact being known as exceptional in analytics in the wider market. Actively seek to build Artefact’s profile within the digital marketing community.  QUALIFICATIONS: EDUCATION & EXPERIENCE REQUIRED CORE REQUIREMENTS * 5+ years of hands-on experience in a data-driven environment. * Strong expertise in at least one of the following domains:        ◦  Dashboarding & Data Visualization: Power BI, Looker, Tableau, or Superset.        ◦  Analytics Engineering: dbt, with experience on BigQuery, Snowflake, or Databricks.        ◦  Marketing Analytics & Measurement: CDP platforms (Treasure Data, Hightouch, Tealium), MMM, attribution, clean rooms.        ◦  Low-Code / No-Code Data Science: Dataiku, Copilot Studio, or similar platforms. * Solid foundation in SQL and Python. * Familiarity with Git and software engineering fundamentals (versioning, testing, code quality). * Experience working in cloud environments (GCP, Azure, or AWS). NICE TO HAVE Experience with generative AI applied to analytics (MCP for BI, conversational data interfaces), exposure to multiple domains above, knowledge of statistics and machine learning fundamentals. Beyond technical expertise, we value: intellectual curiosity, pragmatism and creativity, ability to bridge business and technical teams, autonomy and reliability, and clear communication to build client trust. OUR RECRUITMENT PROCESS 1. HR call 2. Technical Interview 3. Use Case Interview 4. Fit Interview   At Artefact, we recruit our employees only on the basis of our needs and the individual qualities of each candidate. We ensure the development of their professional skills and responsibilities without discrimination of any kind, including belief, gender, age, disability, ethnic origin, sexual orientation, membership of a political organization, religion, trade union or minority group.

Artefact

Who we are Artefact is a French consulting and engineering firm specializing in data and AI, and a leader in Europe. Headquartered in Paris, we are now present in 23 countries across all continents, with a team of 1,700 employees. Our mission is to help businesses unlock the full potential of AI and data by developing tailor-made solutions that address their specific industry challenges. As pioneers in this field, we combine technological expertise with operational excellence, working alongside the world’s leading market players. Our clients span all key economic sectors - industry, retail, luxury, consumer goods, healthcare, and finance - and include major international corporations. Beyond consulting, we are deeply committed to making AI ethical and accessible. We launched the Artefact School of Data to facilitate career transitions into tech roles and established AI Research Centers in Paris and Shanghai. What you will be doing - Key responsibilities As a Manager Data Scientist, you will play a central role in the design, delivery and scaling of AI projects for our clients. Reporting to the CTO, your responsibilities will include: * Leading end-to-end client projects: from framing use cases with business stakeholders to implementing AI solutions that generate measurable impact. * Ensuring technical excellence: promote software engineering and MLOps best practices to deliver scalable solutions and bring them into production. * Supporting solution design: challenging business requirements, validating data availability, and selecting the most appropriate methodologies and architectures. * Being the technical reference for clients: explaining AI approaches in simple terms, providing recommendations on feasibility, risks, and ROI. * Developing trusted client relationships: interacting with C-level and operational teams to position Artefact as a long-term partner on their Data & AI journey. Beyond these core responsibilities, you will also be involved in: Managing the country’s data science team * Support team staffing, ensuring the right skills are applied to meet project needs. * Ensure each individual’s continuous well-being within the team, supporting their growth through mentoring, coaching, and career development plans. * Help define the team’s career framework and participate in performance review processes. * Challenge existing ways of working and drive innovation to continuously improve Artefact’s data science team. Developing Artefact’s technical expertise * Contribute to testing and implementing advanced AI approaches and emerging techniques on client use cases. * Drive initiatives to build internal accelerators, such as modules and tools that can be reused across projects. * Maintain an active technology watch: evaluate emerging tools, frameworks, and cloud services to assess how they can address client needs. * Share knowledge through workshops, informal training sessions, and documentation, fostering a culture of continuous learning. Being a great tech manager * Lead by example: demonstrate technical rigor, pragmatic problem-solving, and the ability to step in directly on projects when the team needs support. * Provide constructive feedback to help data scientists in your team progress in both technical and consulting dimensions. * Anticipate risks and unblock teams, ensuring projects stay on track. * Balance ambition and feasibility: critically assess approaches, driving innovation while ensuring solutions stay realistic to deliver. * Foster collaboration between data scientists, data engineers, and business teams to ensure solutions are effectively integrated and adopted. Qualifications - What we are looking for * 5+ years of hands-on experience developing data-driven solutions. * Strong knowledge in applied machine learning and generative AI. * Solid understanding of software engineering and MLOps best practices. * Experience with industrializing AI workflows in cloud environments. In addition to technical expertise, we value individuals who can: * Lead teams, manage stakeholders, and deliver impactful projects in a business context. * Show intellectual curiosity and excellent problem-solving skills. * Tackle challenges with pragmatism and creativity. * Support growth, mentoring juniors and constructively challenging seniors. * Earn trust from both peers and business stakeholders.  Our recruitment process 1. HR call  2. Standard Interview  3. Technical Interview  4. Fit Interview At Artefact, we recruit our employees solely on the basis of our needs and the individual qualities of each candidate. We ensure the development of their professional skills and responsibilities without discrimination of any kind, including belief, gender, age, disability, ethnic origin, sexual orientation, membership of a political organization, religion, trade union or minority group.

Theodo

L’histoire du groupe Theodo et son succès Theodo accompagne depuis 2009 les entreprises innovantes dans la conception, le développement et le déploiement de produits digitaux ingénieux - tels que la plateforme TF1+, l'application LCL Pro ou l'application France Identité Numérique - en tirant parti du meilleur de la technologie et de l’approche Lean.   Theodo connait une croissance exceptionnelle depuis 15 ans : nos équipes rassemblent plus de 700 Theodoers, principalement des Software Engineers, passionnés de technologie et d’amélioration continue. En 2025, le groupe Theodo génère 100M€ de CA. Ton équipe : Tu rejoindras une communauté tech de plus de 350 Theodoers : software engineers, tech leads, engineering managers et architectes, avec lesquels tu pourras échanger, apprendre et progresser au quotidien. Chez Theodo, les techs travaillent en équipes projet, constituées en fonction des besoins de chaque client. Tu feras partie d’une équipe de Theodoers à taille humaine (4 à 5 personnes), réunissant Software Engineers, Tech Lead et Product Manager. Ensemble, vous collaborerez étroitement avec le client, avec des échanges réguliers pour partager vos avancées, approfondir la compréhension de son problème et faire évoluer le produit au plus près des besoins de ses utilisateurs. Les métiers du Software Engineering évoluent avec l’IA : viens apprendre à devenir un Tech Lead AI Native. Tes futures missions : Nous recrutons un·e Tech Lead pour concevoir et développer des produits digitaux utiles, performants et durables pour répondre aux problématiques de nos clients et de leurs utilisateurs. En tant que Tech Lead, tu es garant du rythme et de la qualité de delivery de ton projet. Tu mobilises ton équipe, fais les choix techniques adaptés au contexte et accompagnes les Software Engineers dans leur progression, avec l’objectif de faire grandir à la fois le produit et les personnes qui le construisent. Garantir le delivery et la qualité du projet Tu vises un niveau de qualité radicalement supérieur, en structurant le delivery autour de standards : Concevoir des architectures évolutives et résilientes (diagrammes d’architecture clairs et partagés)Rédiger des spécifications précises pour permettre le développement sans bugs de fonctionnalitésMettre en place une stratégie de qualité basée sur : le Clean Code, les tests automatisés, les code reviewsAssurer un environnement de travail structuré avec les principes 5S (organisation, clarté, efficacité)Accélérer la vitesse de développement grâce au déploiement des agents IA Être le partenaire technique du clientParticiper aux routines projet (backlog refinement, daily, cérémonies) et veiller à la satisfaction continue du clientExpliquer et défendre les choix techniques pour créer de la confiance et aligner toutes les parties prenantes Créer les conditions de performance de l’équipeMettre en place un environnement de travail efficace et structuré pour l’équipe projetMettre en place des boucles de résolution des problèmes via le Daily Problem SolvingCréer les conditions pour que l’équipe exploite les LLM et gagne en productivité dans son quotidien Faire progresser les Software Engineers de ton équipeAnalyser de manière appronfondie les défauts à la source dans le but d’améliorer les connaissance des équipes (Dantotsu)Former et accompagner l’équipe (pair programming, code reviews, formation) Les problématiques sont très différentes d'un projet à l'autre, voici quelques exemples :  Health Hero : On a aidé HealthHero à scaler une plateforme de télémédecine critique à l’échelle européenne, avec un focus fort sur la qualité et la fiabilité. Résultat : un produit robuste, qui tient la charge et supporte des millions d’utilisateurs sans compromis sur l’expérience. LCL : Développement de la nouvelle néobanque du LCL (L by LCL), une plateforme digitale permettant aux professionnels d’ouvrir et gérer leur compte bancaire en ligne. Tes perspectives d'évolution :  2 axes d’évolutions s’offrent à toi: Architecte senior : développer une expertise technique Solution Architect : participer à le vente de projets complexes en définissant les solutions techniques les plus ingénieuses pour nous permettre de gagner Managériale : Engineering Manager Une méthodologie basée sur l'apprentissage continu :  Chez Theodo, nous avons construit notre approche tech autour d’une conviction forte : on développe d’abord les personnes, avant de développer les produits. Notre Lean Tech® System met l’accent sur l’apprentissage continu : tu évolueras dans un environnement qui investit sur le long terme, où l’objectif est de te permettre de progresser chaque jour, tout en construisant des produits utiles et performants pour nos clients. Profil recherché :  4 à 8 ans d’expérience en développement Solide maîtrise des architectures web (front, back, BDD, infra, déploiement) et des pratiques DevOps (Docker, Kubernetes). Capacité à concevoir des architectures scalables, faire des choix techniques pertinents et garantir un haut niveau de qualité de code. Expérience dans le coaching et l’accompagnement de développeurs, en restant connecté·e à la tech (veille, code, pair programming). Orientation création de valeur et compréhension des enjeux métier du client.