Eleven Labs

2 Jobs

97 Employees

About the Company

Créé en 2011, Eleven Labs est un cabinet de conseil et de réalisation IT reconnu pour son excellence technique et la qualité de ses profils. Avec 100 astronautes et plus de 500 projets menés, on accompagne au quotidien des entreprises comme Radio France, Decathlon, Sephora, The Fork, Société Générale, 20 Minutes, Citeo, Believe... Notre rôle, c’est d’apporter une expertise pointue pour cadrer, fiabiliser et accélérer les transformations numériques les plus exigeantes. On intervient dès l’amont avec des audits et du conseil stratégique pour sécuriser les décisions, puis on met en œuvre des solutions robustes et durables grâce à un delivery sur mesure. Nos expertises : Audit & conseil technologique Développement web et applicatif sur mesure Cloud & DevOps Data engineering & IA Notre différence tient à deux choses : l’intelligence collective et l’usage raisonné de l’intelligence artificielle. On croit que la valeur vient avant tout du collectif, et que des experts augmentés par leur capacité à partager, challenger et construire ensemble vont plus loin. On s’appuie aussi sur l’IA comme levier, non pas pour remplacer mais pour décupler l’efficacité. Notre Lab IA conçoit des agents et des solutions d’intelligence artificielle centrés sur la valeur métier. On développe des architectures d’agents IA sur mesure (LLM/RAG), connectées aux systèmes et données des entreprises (via des serveurs MCP), pour automatiser des processus. Au quotidien, on s’appuie sur des standards exigeants, de la qualité du code à la clean architecture, ou encore en intégrant FinOps et DevSecOps dès la conception. Cette rigueur nous permet de délivrer des solutions fiables et évolutives, conçues pour durer. Vous êtes une entreprise en quête d’expertise technique ou un talent prêt à embarquer ? Contactez-nous : contact@eleven-labs.com

Listed Jobs

Company Name: Eleven Labs
Job Title: Data Engineer Senior F/H/X
Job Description: Job title: Data Engineer Senior F/H/X Role Summary: Senior Data Engineer responsible for designing, building, and maintaining end‑to‑end data pipelines and lakehouse architectures on cloud platforms (GCP, AWS). Coordinates extraction, transformation, and loading of diverse datasets, ensures data quality, and supports data‑driven analytics and BI solutions. Expactations: • Own the technical vision for data infrastructure. • Propose optimal tools and best practices to stakeholders. • Mentor junior engineers and contribute to community knowledge sharing. • Deliver reliable, scalable pipelines within an Agile environment. Key Responsibilities: - Design and implement ETL/ELT pipelines for varied business use cases. - Build and maintain data lakes/lakehouses using Databricks, Snowflake, or similar. - Develop custom pipeline steps in Python/Scala; orchestrate jobs with Spark, Jupyter, Cloud Run, or equivalent. - Optimize SQL/NoSQL queries and data models for performance. - Create and maintain BI dashboards and visualizations. - Collaborate with cross‑functional teams (marketing, product, analytics) to convert reporting needs into technical solutions. - Monitor, troubleshoot, and improve pipeline reliability and scalability. - Integrate ML tools and cloud services where applicable. Required Skills: - 3+ years of professional data engineering experience. - Expertise in cloud data platforms (GCP Dataflow, BigQuery, AWS Glue, Redshift, etc.). - Strong command of SQL and NoSQL database systems. - Proficient in Python or Scala; experience with PySpark or Scala Spark. - Familiarity with Databricks, Snowflake, or equivalent lakehouse solutions. - Knowledge of distributed computing (Spark, Kubernetes, Cloud Run). - Basic ML tool integration (TensorFlow, PyTorch, MLflow). - Experience with BI tools (Tableau, Power BI, Looker, or similar). - Agile mindset and excellent communication skills. Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related technical field. - Relevant certifications (e.g., Google Cloud Professional Data Engineer, AWS Certified Data Analytics – Specialty, Snowflake SnowPro Architect) are a plus.

Company Name: Eleven Labs
Job Title: Développeur(se) Node React GraphQL Senior(e) F/H/X
Job Description: **Job Title:** Senior Node.js React GraphQL Developer **Role Summary** Seeking a full-stack JavaScript developer with senior-level expertise in Node.js, React, and GraphQL. The ideal candidate is adaptable, autonomous, and capable of leading technical decisions while advocating for best practices across diverse environments and teams. **Expectations** 5+ years of full-stack JavaScript experience, demonstrating technical agility to select tools/technologies based on project requirements. Proven ability to lead complex projects, mentor junior developers, and collaborate in agile environments. Comfort with cloud infrastructure (AWS), API design (GraphQL), and high-performance application development. **Key Responsibilities** - Design and implement full-stack JavaScript solutions using Node.js, React, and GraphQL. - Evaluate and recommend technology stacks for projects, ensuring alignment with business goals. - Mentor junior developers, lead code reviews, and champion coding standards. - Collaborate with cross-functional teams to deliver scalable, secure, and high-performance applications. - Participate in technical decision-making, including project evaluations and internal tool development. - Communicate technical strategies to non-technical stakeholders. **Required Skills** - Proficiency in Node.js, React, and GraphQL. - Experience with cloud environments (AWS, Lambdas). - Strong understanding of REST/GraphQL APIs, state management, and CI/CD pipelines. - Agile methodology and collaborative team practices. **Required Education & Certifications** - Bachelor’s degree in Computer Science or equivalent. - Certifications in JavaScript frameworks, cloud computing (AWS), or software architecture preferred.