Machine Build Automation and PLC Advanced Engineer

Autoliv; Survilliers; Sur place; EUR 50 000 - 70 000; Plein temps

Avantages offerts par ce poste

Contribution to innovative projects

Opportunity to shape the factory of the future

Résumé du poste

Autoliv is seeking a Machine Build Automation and PLC Advanced Engineer to design and deploy digital solutions aimed at enhancing industrial performance. This role involves collecting and integrating data from various industrial systems while contributing to high-performance data architectures and developing applications.

The successful candidate will join an evolving environment with opportunities to work on innovative projects centered on AI, IoT, and digital transformation in operations.

Qualifications

• Proven experience in industrial digital solutions, data engineering, software development, or industrial information systems.
• Strong analytical and problem-solving skills.

Responsabilités

• Design, develop, and deploy digital solutions that enhance industrial performance.
• Collect and leverage data from industrial systems.
• Develop intelligent assistants for maintenance and data analysis.

Connaissances

Python

SQL Server

Microsoft Fabric

Power BI

SCADA

HTML

CSS

JavaScript

Networking fundamentals

Formation

Engineering or master’s degree in computer science, data engineering, software engineering, automation, or a related field

Description du poste

Machine Build Automation and PLC Advanced Engineer

Autoliv develops vehicle safety products and is looking for an engineer to design and deploy digital solutions that enhance industrial performance, data reliability, and operational efficiency.

Responsibilities

• Design, develop, and deploy digital solutions that enhance industrial performance, data reliability, and operational efficiency.
• Collect, integrate, and leverage data from industrial systems (SCADA, Ignition, MES, etc.).
• Structure, model, and maintain databases (SQL Server, Microsoft Fabric).
• Develop data processing and transformation pipelines using Python and Microsoft Fabric notebooks.
• Ensure the quality, consistency, and availability of industrial data.
• Contribute to the implementation of scalable and high‑performance data architectures.
• Design and develop internal applications using ASP.NET Core (C#).
• Create digital tools for production monitoring, performance indicators, user management and internal processes, operational management (TOP5 meetings, dashboards, incident tracking, etc.).
• Maintain and enhance existing applications.
• Support the modernization of the industrial application landscape.
• Develop Power BI reports and dashboards.
• Provide reliable and relevant KPIs to shopfloor teams and management.
• Contribute to the standardization of Production, Quality, and Maintenance reporting.
• Transform data into actionable insights to support operational decision‑making.
• Ensure the integration of industrial equipment and connected devices.
• Implement production data collection and communication flows.
• Participate in the configuration and maintenance of related network infrastructures (VLAN, NAT, firewall, etc.).
• Contribute to the reliability and availability of connected systems.
• Lead or contribute to industrial digitalization projects.
• Deploy digital solutions across the site or the wider group.
• Work closely with Production, Maintenance, Quality, and IT teams.
• Support end users in adopting new tools and technologies.
• Design and deploy AI business agents using Microsoft Copilot Studio and other agentic AI solutions.
• Leverage internal data sources (Microsoft Fabric, SQL Server, SharePoint, MES, etc.) to power intelligent agents.
• Automate business processes using generative AI and automation technologies.
• Develop intelligent assistants for maintenance support, production data analysis, and operational decision support.
• Design architecture combining data, artificial intelligence, and business applications.
• Contribute to AI governance, security, and best practices within an industrial environment.
• Optimize application performance and SQL queries.
• Implement best practices related to cybersecurity, architecture, and access management.
• Provide technical support to users.
• Produce technical and functional documentation.
• Monitor emerging technologies in data, AI and Industry 4.0.

Qualifications

• Engineering or master’s degree in computer science, data engineering, software engineering, automation, or a related field.
• Proven experience in industrial digital solutions, data engineering, software development, or industrial information systems.
• Technical skills: Python, SQL Server, Microsoft Fabric, Power BI, Ignition/SCADA, web technologies (HTML, CSS, JavaScript), networking fundamentals (VLAN, NAT, firewall).
• Key competencies: Generative AI and Agentic AI, Microsoft Copilot Studio and conversational agents, integration of AI solutions with industrial systems and data platforms, project management and change management, industrial mindset and continuous improvement culture, autonomy, strong analytical and problem‑solving skills, team‑oriented with a service mindset, passion for technology and innovation, results‑driven and operationally focused, effective communication with technical and business stakeholders.

Why Join Us?

• Industrial Data
• Business Applications
• IoT & Automation
• Artificial Intelligence & Intelligent Agents
• Digital Transformation of Operations

You will join an evolving industrial environment where you can directly contribute to innovative, high‑impact projects and help shape the factory of the future.