Machine Build Automation and PLC Advanced Engineer

Posted Yesterday
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Survilliers, Val-d'Oise, Île-de-France, FRA
In-Office
Mid level
Automotive
The Role
Design, develop, and deploy industrial digital solutions: collect and model SCADA/MES data, build data pipelines and databases, create ASP.NET Core applications and Power BI dashboards, integrate IoT and industrial equipment, deploy AI agents (Copilot Studio), and lead digitalization projects with Production, Maintenance, Quality, and IT teams.
Summary Generated by Built In

Autoliv's primary goal is to Save More Lives. Our products never get a second chance. This is why we can never compromise on quality. We are working to increase vehicle safety by developing seatbelts, airbags and steering wheels and you can be part of our team as Machine Build Automation and PLC Advanced Engineer.

As a key driver of innovation, you will design, develop, and deploy digital solutions enhancing industrial performance, data reliability and operational efficiency.

If you think you'll like to manage the following responsibilities at higher standards:

Data & Industrial Data Analytics

  • 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.

Business Application Development

  • Design and develop internal applications using ASP.NET Core (C#).

  • Create digital tools for Production monitoring and 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.

Reporting & Decision Support

  • 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.

IoT & Industrial Systems

  • 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

Digital Project Management & Deployment

  • 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.

AI, Automation & Digital Transformation

  • 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 & Operational decision support.

  • Design architecture combining data, artificial intelligence, and business applications.

  • Contribute to AI governance, security, and best practices within an industrial environment.

Additional activites

  • 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.

and if you have/are:

  • 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 (data analytics, automation).

• SQL Server (data modeling, optimization, performance tuning).

• 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.

  • Autonomous and accountable.

  • Strong analytical and problem-solving skills.

  • Team-oriented with a service mindset.

  • Passion for technology and innovation.

  • Results-driven and operationally focused.

  • Ability to communicate effectively with both technical and business stakeholders.

Why Join Us?

You will join an evolving industrial environment where you can directly contribute to innovative, high-impact projects.

This position plays a strategic role within the organization by combining:

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

Are you ready to use technology to drive industrial performance and help shape the factory of the future? Join us!

Then we will be more than glad to chat with you about your experience and your career goals.

Our international work environment can offer you challenging and rewarding opportunities. We are committed to develop people’s skills, knowledge and creative potential. Our training and development programs emphasize technical competency, leadership development and business management skill. More lives saved – more life lived!

Skills Required

  • Engineering or Master's degree in Computer Science, Data Engineering, Software Engineering, Automation, or related field
  • Proven experience in industrial digital solutions, data engineering, software development, or industrial information systems
  • Python (data analytics, automation)
  • SQL Server (data modeling, optimization, performance tuning)
  • Microsoft Fabric (including notebooks)
  • Power BI (reports and dashboards)
  • Ignition and SCADA systems
  • ASP.NET Core and C# (business application development)
  • Web technologies: HTML, CSS, JavaScript
  • Networking fundamentals (VLAN, NAT, firewall)
  • Experience integrating IoT / industrial equipment and implementing production data flows
  • Experience with Microsoft Copilot Studio, conversational/agentic AI, or Generative AI integrations
  • Experience with SharePoint, MES or other industrial data sources
  • Ability to optimize SQL queries and application performance
  • Experience leading or contributing to digitalization projects and supporting end-user adoption
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The Company
HQ: Stockholm
17,933 Employees
Year Founded: 1953

What We Do

Autoliv, Inc. is the worldwide leader in automotive safety systems. We develop, manufacture and market protective systems, such as airbags, seatbelts, steering wheels and pedestrian protection systems for all major automotive manufacturers in the world. Our products save 37,000 lives and prevent 450,000 injuries each year. Our ~65,000 employees in 25 countries are passionate about our vision of Saving More Lives and quality is at the heart of everything we do. We have 13 technical centers, with 20 test tracks. In the world of automotive occupant safety, we were the first to introduce the two- and three-point seat belt system and airbags for front and side impacts. We were also the first to launch pyrotechnic belt pretensioners and pedestrian protection systems. Autoliv, Inc. is a publicly traded Delaware U.S. corporation with its headquarters in Stockholm, Sweden. The shares are listed on the New York Stock Exchange (NYSE: ALV) and the Swedish Depository Receipts on Nasdaq Stockholm (ALIV sdb). For more information go to www.autoliv.com.

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