Hyvilo

www.hyvilo.eu

2 Jobs

14 Employees

About the Company

Plateforme de Gestion Augmentée Solution de rupture pour toutes les organisations en quête d'excellence opérationnelle. En coordonnant sans limite vos opérations et vos informations, vous domptez enfin la complexité et agissez sur votre efficacité globale.

Listed Jobs

Company Name: Hyvilo
Job Title: Chargé(e) de projet data & intégration F/H
Job Description: **Job Title** Data & Integration Project Manager **Role Summary** Lead the end‑to‑end integration of client data into the Hyvilo platform. Design and transform datasets, configure platform settings, and conduct workshops with business, field, and operational stakeholders to ensure seamless data delivery and optimal user experience. Drive continuous improvement by identifying automation, optimization, and feature enhancement opportunities. **Expectations** - Entrepreneurial mindset with strong initiative and self‑direction. - Excellent analytical, organizational, and communication skills. - Heavy customer orientation and collaborative team play. - Ability to manage priorities, maintain rigor, and follow security procedures. **Key Responsibilities** 1. **Data Analysis & Integration** – Examine source data, design transformations, enforce data quality, consistency, and reliability. 2. **Platform Configuration** – Parameterise Hyvilo for business use; set rules, filters, models, and adaptations; contribute to product improvement. 3. **Client Engagement** – Run technical and business workshops; capture user requirements; propose optimised solutions and maintain long‑term trust. 4. **Continuous Improvement** – Identify automation and optimisation possibilities; refine deployment methodology; feed functional enhancement ideas to the Product team. **Required Skills** - SQL and PostgreSQL proficiency. - Experience with ETL tools, especially FME. - Understanding of data architecture: pipelines, APIs, formats. - GIS/geospatial data handling (preferred). - Python fundamentals (beneficial). - Strong analytical, organisational, and communication abilities; customer‑first mindset. **Required Education & Certifications** - Bachelor’s degree (Bac+3) in Computer Science, IT, Data Science, Engineering or related field. - 3–5 years of relevant experience (motivation and learning capability valued). ---

Company Name: Hyvilo
Job Title: Ingénieur(e) Data (Python & pipelines de données) F/H
Job Description: **Job Title** Data Engineer (Python & Data Pipelines) – F/M **Role Summary** Design, build, and maintain robust data pipelines, model new data structures, and optimize data workflows to support analytics and client-facing products. Collaborate closely with the Data & Deployment team to ensure high quality, secure, and scalable data solutions. **Expectations** - Full‑time, permanent employment - Primary focus on Python, SQL, and data pipeline tooling - Deliver reliable, maintainable, and secure automated data processes - Act as a technical advisor for data initiatives and improvement of standards **Key Responsibilities** - Design, develop, and maintain data pipelines with Python, SQL, and MageAI - Model and incorporate new data into existing systems - Develop and optimize workflows for performance and reliability - Ensure robustness, security, and maintainability of automated processes - Contribute to the creation and evolution of analytical dashboards - Collaborate with Data & Deployment team on data matters and recommend suitable technical solutions - Proactively propose enhancements to tools, standards, and methodologies **Required Skills** - Advanced proficiency in Python and SQL - Strong experience with data libraries (e.g., Pandas) - Hands‑on knowledge of REST API integration and consumption - Familiarity with relational databases, particularly PostgreSQL/PostGIS - Solid understanding of ETL/ELT architectures and data quality, security, and scalability principles - Proficiency in development best practices: Git, CI/CD, automated testing - Ability to manage complex data projects and mentor peers **Required Education & Certifications** - Minimum Bachelor’s degree (Bachelor, Lic., Bac+3) in Computer Science, Data Science, or related field - Around 5 years of experience in data engineering or development (preferred) ---