Data Engineer F/H

Voici une version traduite en anglais du texte que vous avez fourni, suivie d’un résumé structuré (responsabilités, missions, profil recherché) que vous pourrez facilement copier‑coller dans une offre d’emploi ou dans un document interne.

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📄 Translation – English version

Company
Ixon – AEMF – International brand specialist in motorcycle equipment. Ixon offers gear that matches the needs and riding experience of its customers.

Job title
Data Architect / Data Engineer (with analytics & data‑science responsibilities)

Reporting line
Reports to the Head of Information Systems and works functionally with the project managers.

Mission statement
You will be responsible for the design, development and maintenance of data‑management and analytics solutions within the company. The role requires close collaboration with technical and business teams to understand data needs, design efficient data pipelines, and implement secure, scalable storage and processing solutions.

Main responsibilities

1️⃣ Data Architecture – Design & development of pipelines & infrastructure

• Design, develop and maintain robust, scalable data pipelines for ingestion, processing and manipulation of data.
• Ensure quality, reliability and performance of the pipelines.
• Deploy and manage data storage and governance systems, guaranteeing scalability and security.
• Optimize performance of databases and data warehouses (both relational and NoSQL).

2️⃣ Maintenance & support

• Monitor and maintain data‑management systems to guarantee continuous operation.
• Provide technical support to internal users when data‑related issues arise.
• Conduct technology watch on new tools that could improve data acquisition and analysis.

3️⃣ Data analysis & visualisation

• Work with business teams to capture their reporting and visualisation needs.
• Build visualisation tools (e.g., dashboards) that enable deep data analysis and data‑driven decision‑making.
• Perform in‑depth analyses to uncover trends, correlations and actionable insights.
• Apply statistical techniques and data‑analysis tools to interpret results.

4️⃣ Data science basics

• Understand core data‑science concepts and AI techniques (Machine Learning, Deep Learning) to support future Data‑Scientist initiatives or evolve into that role.

5️⃣ IT Service support (backup role)

• Act as a backup for other IT team members when needed.
• Follow information‑security rules and comply with data‑collection legislation (including GDPR).
• In coordination with the Head of IT and the Systems & Network Administrator, respond to user assistance requests via phone, email or ticketing system (GLPI).

Salary – €36 000 – €38 000 gross per year.

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📋 Summary – Key points for a job posting

Category	Details
Title	Data Architect / Data Engineer (with analytics & data‑science responsibilities)
Location	(Add city / remote policy)
Reports to	Head of Information Systems
Main missions	• Design & maintain scalable data pipelines (ingestion, processing, storage) • Ensure data quality, reliability & performance • Manage relational & NoSQL databases, data warehouses • Provide technical support & system monitoring • Build dashboards & visualisation tools (Power BI, Streamlit, Dash) • Conduct advanced data analysis & generate insights • Support/seed future data‑science initiatives (ML/DL)
Technical stack	• Languages: Python, SQL (plus HTML/JS/PHP a plus) • Big‑Data: Hadoop, Spark • Version control & CI/CD: Azure DevOps, GitHub • Visualisation: Power BI, Streamlit, Dash • DBs: Relational (PostgreSQL, MySQL, SQL Server) & NoSQL (MongoDB, Cassandra…)
Required experience	Minimum 2 years in a similar data‑engineering/architecture role.
Education	Degree in Computer Science, Management, Statistics, or related field.
Key competencies	• Strong analytical mindset, rigorous & synthetic • Ability to work in agile environments and communicate with both technical and business stakeholders • Fluent in English (spoken & written) • Curiosity for market best practices & innovation • Good knowledge of GDPR and IT security standards
Soft skills	Team player, proactive, good communicator, detail‑oriented.
Additional assets	Experience with Machine Learning / Deep Learning, basic HTML‑JS‑PHP, familiarity with GLPI ticketing system.
Compensation	€36 000 – €38 000 gross per year (negotiable based on experience).
Benefits	(Add any company‑specific perks: health insurance, training budget, remote work, etc.)

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✍️ How to use this material

1. Job board posting – Copy the “Summary” table into your ATS or job board.
2. Internal communication – Use the English translation to share the role with non‑French‑speaking stakeholders or external recruiters.
3. Interview guide – Turn each bullet under “Main missions” into interview questions (e.g., “Can you describe a data pipeline you built with Spark?”).
4. Candidate screening – Create a checklist from the “Technical stack” and “Key competencies” to quickly filter CVs.

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Need anything else?

• A cover‑letter template for candidates?
• A list of interview questions tailored to each responsibility?
• A skill‑matrix to evaluate applicants?
• A French‑only version formatted for a specific job portal?

Just let me know, and I’ll prepare it for you!