Updated on 7 October 2026
Industrial Data Engineering (IT/OT)
Data Science & Engineering team leader at hyamani.eu
Strasbourg, France
About
Many industrial data projects begin with ERP, reporting, or business intelligence initiatives. As projects progress, operational data, production systems, and industrial constraints often become critical success factors.
This service provides hands-on data engineering support during implementation and delivery phases, with a focus on production environments and industrial data sources.
Typical activities include:
• Industrial data acquisition and integration with direct communication with PLC
• Data pipeline development and orchestration
• ETL and ELT implementation
• Operational and analytical data modeling
• Time-series and production data management
• Data mart and KPI layer development
• Data quality and validation processes
• Integration with reporting, monitoring, and analytics platforms
• Deployment and operation of data services
The objective is to bridge the gap between industrial operations, software systems, and analytics platforms, ensuring that production data can be transformed into reliable and actionable information for business and operational stakeholders.
Type
- Consulting
- Technology Transfer
Applies to
- Industry 4.0
- Manufacturing
Similar opportunities
Expertise
Informed decision making for the Industry - data platform engineering
- Industrial AI
- IT/OT interoperability
- Production optimization
Hugues-Yanis AMANIEU
Data Science & Engineering team leader at hyamani.eu
Strasbourg, France
Service
Industrial Data Platform Architecture & Information Modeling
- Other
- Consulting
- Industry 4.0
- Manufacturing
Hugues-Yanis AMANIEU
Data Science & Engineering team leader at hyamani.eu
Strasbourg, France
Service
Industrial Data & AI Opportunity Assessment
- Consulting
- Industry 4.0
- Manufacturing
Hugues-Yanis AMANIEU
Data Science & Engineering team leader at hyamani.eu
Strasbourg, France