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DIANE CONSULTING

DIANE CONSULTING

diane-consulting.com

4 Jobs

22 Employees

About the Company

Listed Jobs

Company background Company brand
Company Name
DIANE CONSULTING
Job Title
Architecte Technique Data Expert Technique F/H
Job Description
**Job Title** Technical Data Architect (F/M) **Role Summary** Architects end‑to‑end technical data solutions that translate business and functional requirements into scalable, high‑level designs. Works closely with data engineering, analytics, science, and enterprise architecture to define infrastructure, integration, and success criteria across complex data initiatives. **Expectations** - Deliver clear technical vision and detailed specifications for multiple concurrent data projects. - Ensure alignment with business objectives while meeting performance, scalability, and security standards. - Mentor and collaborate with multidisciplinary teams to adopt and evolve best‑practice design methodologies. **Key Responsibilities** 1. Translate business and functional needs into coherent technical architecture. 2. Define and document technical, functional, and non‑functional requirements. 3. Evaluate and manage technical dependencies and strategic feature trade‑offs. 4. Identify required infrastructure, services, APIs, frameworks, and libraries. 5. Design high‑level solutions (HLD) and establish technical success metrics. 6. Analyze integration points with other systems and map dependencies. 7. Conduct technical POCs or spikes to validate complex hypotheses. 8. Contribute to continuous improvement of solution‑design methodologies. **Required Skills** - Deep expertise in infrastructure, integration, and scalability architecture. - Proficiency with APIs, microservice frameworks, data pipelines, and libraries. - Mastery of solution‑design processes, workshops, and deliverables. - Strong command of integration standards (REST, GraphQL, ESB, etc.). - Ability to translate functional/non‑functional requirements into technical specs. - Excellent analytical, detail‑oriented, and standards‑driven approach. - Clear, persuasive communication and teaching ability for cross‑functional audiences. - Agile mindset with proven interdisciplinary collaboration experience. **Required Education & Certifications** - Minimum 5 years’ experience as Technical Data Architect, Solution Architect, or equivalent. - Bachelor’s or Master’s degree (Bac+5) in Computer Science, Software Architecture, or related discipline. - Professional English proficiency (oral & written). - Experience in large‑account or complex data projects preferred.
Lyon, France
On site
Mid level
20-11-2025
Company background Company brand
Company Name
DIANE CONSULTING
Job Title
Data Engineer Confirmé / Expérimenté F/H
Job Description
**Job title**: Senior Data Engineer **Role Summary** Design, develop, and maintain data ingestion, transformation, and migration pipelines in preparation for a central data platform and enhanced Power BI analytics. Support operational run‑time, maintenance, and incremental improvements of existing pipelines, while ensuring compliance with data security and GDPR standards. **Expectations** - Minimum 6 years of senior data engineering experience (10 + yrs welcome). - Proven track record in large‑scale data projects, preferably with enterprise‑grade data solutions. - Proficiency in French and professional‑level English (oral & written). - Ability to work independently, deliver accurate work, and collaborate effectively within cross‑functional teams. **Key Responsibilities** - Design, implement, and maintain data pipelines using NiFi, Airflow, Python, and SQL. - Operate and support existing data pipelines (RUN, MCO) and troubleshoot incidents. - Lead data migration projects to a unified central platform, ensuring minimal disruption. - Develop and optimize Python scripts and PostgreSQL queries for performance and reliability. - Create and maintain technical and functional documentation. - Collaborate on ERP and vendor data integration initiatives. - Enforce data security, privacy, and GDPR compliance across all processes. - Manage version control with Git and contribute to code reviews. **Required Skills** - Advanced proficiency in Python and SQL. - Deep experience with NiFi and/or Airflow. - Solid PostgreSQL database knowledge. - Ability to build and consume RESTful APIs. - Familiarity with Power BI / Power BI Online. - Strong understanding of procurement/ purchasing business domain. - Knowledge of data security principles and GDPR requirements. - Comfortable using Git for version control. **Required Education & Certifications** - Minimum  Bachelor’s degree (Bac+5) in Engineering, Computer Science, Information Systems, or equivalent. - Relevant certifications in data engineering or related technologies are a plus but not mandatory.
Lyon, France
On site
Mid level
26-11-2025
Company background Company brand
Company Name
DIANE CONSULTING
Job Title
Concepteur-Développeur Data & IA Confirmé F/H
Job Description
**Job title** Senior Data & AI Designer‑Developer (F/M) **Role summary** Design, develop, and maintain data and AI solutions across ERP, supplier, and decision‑making projects. Build data models, pipelines, and analytics to support business requirements while ensuring quality, traceability, and GDPR compliance. **Expectations** - Deliver end‑to‑end data architecture and pipeline solutions that meet functional and technical specifications. - Ensure data quality, security, and compliance within complex, enterprise‑scale environments. - Communicate clearly with business stakeholders, technical teams, and subject‑matter experts. **Key responsibilities** - Analyse business needs and produce functional/specification documents. - Design data architectures: RAW lanes, DMT, DWH. - Develop and manage data ingestion and integration pipelines using NiFi, Airflow, and REST APIs. - Code ETL/ELT logic in Python and SQL. - Contribute to Power BI dashboards and reports. - Apply GDPR and data governance practices. - Write complete documentation and test cases. - Support ERP projects (S4PHIR, HLK, DLF, E‑PROC) and supplier data initiatives. **Required skills** - Advanced Python and SQL development. - Proficiency with NiFi and/or Airflow. - Deep knowledge of PostgreSQL. - Experience with Power BI (desktop & online). - REST API integration. - Version control with Git. - Understanding of data and information‑system architecture. - Familiarity with procurement/supplier domain. - Professional English (spoken/written). - Strong analytical, autonomous, and methodical approach; good interpersonal skills. **Required education & certifications** - Bachelor’s (Bac+5) degree in Computer Science, Data Science, AI, or Information Systems. - Minimum 6 years of experience in data design and development (senior profiles with 10+ years highly valued). - Experience in large‑account or complex data projects preferred.
Lyon, France
On site
Mid level
26-11-2025
Company background Company brand
Company Name
DIANE CONSULTING
Job Title
Data Engineer F/H
Job Description
**Job Title:** Data Engineer (F/H) **Role Summary:** Junior Data Engineer working within a modern, high‑performance data environment. Responsibilities include developing, maintaining, and monitoring data pipelines, orchestrating workflows, populating PostgreSQL databases, and contributing to Power BI dashboards. The role provides on‑the‑job training alongside senior engineers to accelerate skill growth. **Expectations:** - Deliver reliable data pipelines and ETL processes. - Support day‑to‑day operations and maintenance (RUN, MCO). - Produce clean, well‑documented code and technical documentation. - Uphold GDPR and security standards. - Collaborate closely with procurement and business units. - Continuously learn new tools and technologies. **Key Responsibilities:** - Design, develop, and maintain data flows using NiFi or Airflow. - Write and optimize Python scripts and SQL queries for data processing. - Populate and manage PostgreSQL data warehouses. - Support supplier‑management, ERP, and decision‑making projects. - Build and refine Power BI dashboards and reports. - Document data architecture, process flows, and best practices. - Participate in operational support and system monitoring. - Ensure compliance with GDPR, data security policies, and internal standards. **Required Skills:** - Proficient in Python and SQL. - Experience with NiFi or Airflow orchestration. - Solid knowledge of PostgreSQL. - Familiarity with REST APIs. - Git version control. - First‑hand experience with Power BI is a plus. - Strong analytical mindset and attention to detail. - Good communication skills in English (oral & written). - Interest in procurement data and business‑data integration. **Required Education & Certifications:** - Bachelor’s (Bac+3) to Master’s (Bac+5) degree in Computer Science, Data Science, or Information Systems. - Minimum 2 years’ experience in a data‑related role, preferably in large‑account or complex data projects. - Professional English proficiency. - No mandatory certifications required, though relevant data‑engineering or cloud certifications (e.g., AWS Data Analytics, GCP, Azure) are advantageous.
Lyon, France
On site
Junior
26-11-2025