5 Degrés

www.5degres.com

4 Jobs

122 Employees

About the Company

5 Degrés est une agence de conseil experte en Produit digital. Afin de répondre aux enjeux de nos clients et de nos équipes, nous nous sommes organisés en 5 Practices qui couvrent l’ensemble de la chaine de création d’un produit digital : Product Management Product Design Product Development Product Quality Product Data Nos collaborateurs interviennent chez des clients de tous secteurs d’activité, à la fois en BtoB et en BtoC, afin de concevoir et faire vivre des produits digitaux durablement.

Listed Jobs

Company Name: 5 Degrés
Job Title: Ingénieur DevOps (H/F)
Job Description: **Job Title**: DevOps Engineer **Role Summary**: Deploy and optimize CI/CD pipelines and cloud infrastructure to support client product development across industries (healthcare, aerospace, automotive, retail). **Expactations**: Minimum 4+ years of proven DevOps engineering experience. **Key Responsibilities**: - Automate and standardize CI/CD pipelines (GitLab CI/CD, GitLab Pipelines). - Optimize private/hybrid cloud environment usage (e.g., OVH). - Integrate/deploy architectures using Kubernetes, Rancher, Terraform, Ansible. - Participate in tender responses and requirement analysis to define functional/technical capacities. - Conduct L2/L3 network investigations. - Design and document system architectures and processes. **Required Skills**: - Proficiency in DevOps tools: GitLab CI, Terraform, Kubernetes, Rancher, Ansible. - Experience with public/private/hybrid cloud environments. - Strong communication and collaboration skills. **Required Education & Certifications**: - Not specified. - Certifications: Not required.

Toulouse, France

Hybrid

20-10-2025

Company Name: 5 Degrés
Job Title: Ingénieur de données/Ingénieure de données
Job Description: **Job Title** Data Engineer **Role Summary** Design, develop and maintain end‑to‑end data pipelines that ingest, transform, and store data from diverse sources. Ensure high data quality, scalability, and performance of data platforms to support analytical and product needs across multiple industries. **Expectations** - Minimum 5 years of professional experience in data engineering or related roles - Proven ability to build robust, reusable data solutions in a rapidly evolving environment - Proactive contributor to process improvement, documentation, and team knowledge sharing **Key Responsibilities** - Extract, collect, and transform data from multiple source systems into a unified data warehouse or lake - Design and implement scalable, high‑performance ETL/ELT processes (batch & streaming) - Manage data sources, metadata, and database schemas to support downstream analytics and reporting - Enforce and monitor data quality standards throughout the data lifecycle - Propose and evaluate new tools, technologies, and best practices to improve data engineering operations - Mentor junior team members and facilitate knowledge transfer sessions **Required Skills** - Strong proficiency in SQL (PostgreSQL, MySQL, Redshift, BigQuery, Snowflake, etc.) - Experience with programming languages used for data pipelines (Python, Scala, Java) - Hands‑on with ETL tools/frameworks (Apache Airflow, dbt, Talend, Informatica) - Working knowledge of cloud data platforms (AWS – Redshift, S3, Glue, Athena; GCP – BigQuery, Dataflow; Azure – Synapse) - Familiarity with big data processing engines (Apache Spark, Flink) and message queues (Kafka, RabbitMQ) - Understanding of data modeling, lakehouse concepts, and data governance principles - Ability to write clear, maintainable code and well‑documented data pipelines - Optional: experience in data visualization (Looker, Tableau, Power BI) is an advantage **Required Education & Certifications** - Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field - Professional certifications such as AWS Certified Data Analytics – Specialty, Google Cloud Professional Data Engineer, or Microsoft Certified: Azure Data Engineer Associate are highly regarded.

Company Name: 5 Degrés
Job Title: Chargé.e de Développement RH (Stage)
Job Description: **Job Title:** HR Development Intern **Role Summary:** Full-time internship for a final-year Master's student in HR, Work Psychology, or Business focusing on recruitment, employee tracking, and HR project development within a digital product consulting firm. Aftership to full-time CDI with structured skill progression. **Expactations:** - Final-year Master’s student in HR, Work Psychology, or Business (e.g., Master in Work Psychology, Business School). - Curiosity about digital industry roles (Product Management, Design, Data, Development). - Proficiency with LinkedIn Recruiter, Excel, ERP/ATS platforms. - Strong interpersonal skills and proactive learning mindset. **Key Responsibilities:** - **Recruitment (60%):** Draft and publish job postings, targeted talent sourcing, candidate pre-screening and HR interviews, coordinate evaluation processes, manage application pipelines. - **Employee Tracking (20%):** Support onboarding processes, monitor employee journey, communicate updates and organizational culture. - **HR Projects (20%):** Contribute to structuring HR practices (onboarding, recruitment, skill management, AI integration), conduct HR innovation research, and benchmark best practices. **Required Skills:** - HR software proficiency (LinkedIn Recruiter, ATS). - Strong relationship-building and communication abilities. - Time management in fast-paced environments. - Adaptability to evolving HR strategies. **Required Education & Certifications:** - Master’s degree in HR, Work Psychology, Business (university or business school). - No mandatory certifications specified.

Toulouse, France

Hybrid

06-11-2025

Company Name: 5 Degrés
Job Title: MLOps Engineer
Job Description: **Job Title:** MLOps Engineer **Role Summary:** Design, deploy, and maintain AI/ML infrastructure for client projects, ensuring scalable, robust, and performant model serving. Collaborate within a Data Science squad to integrate generative AI and agentic frameworks, build API services, and document best practices. **Expectations:** - Minimum 5 years of professional experience as an MLOps Engineer. - Proven autonomy, rigor, and strong communication skills. - Ability to work in English on technical topics without difficulty. **Key Responsibilities:** - Architect, containerize, and orchestrate AI workloads using Docker, Kubernetes, and OpenShift. - Deploy, monitor, and maintain model serving pipelines and associated APIs. - Optimize AI infrastructure for scalability, reliability, and performance. - Implement and integrate generative AI and agentic frameworks (e.g., LangChain, Retrieval‑Augmented Generation, image generation). - Create and maintain documentation and share operational best practices across teams. **Required Skills:** - Deep expertise in containerization and orchestration (Docker, Kubernetes, OpenShift). - Strong knowledge of AI/ML lifecycle, model deployment, and monitoring. - Experience with generative AI concepts and agentic frameworks (LangChain, RAG, image generation). - Proficient in scripting/automation (Python, Bash, CI/CD tools). - Familiarity with cloud platforms (AWS, Azure, GCP) and infrastructure‑as‑code (Terraform, Helm). - Excellent problem‑solving abilities, self‑direction, and collaborative communication. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field (or equivalent professional experience). - Relevant certifications (e.g., Certified Kubernetes Administrator, Cloud Provider certifications) are a plus but not mandatory.