Automotive Order & Planning Engineer - AI-Driven .NET

Integro-Consulting-Ab; Skövde kommun; In loco; SEK 700.000 - 1.000.000; Tempo pieno

Descrizione del lavoro

Integro-Consulting-Ab is seeking an experienced Software Engineer to maintain and develop a business-critical Order & Planning application in the automotive sector. You will work with .NET, SQL Server, and system integrations to ensure reliable order distribution and production planning.

You will collaborate with business stakeholders and technical teams, drive AI-assisted improvements, and resolve complex defects while ensuring adherence to production-critical processes.

Competenze

• Experience with software development in the automotive industry.
• Experience with order management, production planning, material supply or sequencing.
• Understanding of production, logistics and customer delivery processes.
• Experience with high-volume, business-critical applications.
• Strong analytical, communication and problem-solving skills.

Mansioni

• Develop and maintain order management and planning applications.
• Understand order flows, production planning and business requirements.
• Collaborate with business and technical stakeholders.
• Analyze and resolve system and integration issues.
• Ensure reliable handling of business rules and production-critical processes.
• Drive AI adoption and identify opportunities to improve efficiency and quality.

Conoscenze

C#

.NET Framework 4.8

ASP.NET

SQL Server

Azure DevOps

CI/CD

WCF

Entity Framework

Formazione

Post-secondary education in engineering/technical field

Strumenti

Unity

AutoMapper

Splunk

Serilog

Telerik UI

SSDT

Descrizione del lavoro

Integro-Consulting-Ab is seeking an experienced Software Engineer to maintain and develop a business-critical Order & Planning application in the automotive sector. You will work with .NET, SQL Server, and system integrations to ensure reliable order distribution and production planning.

You will collaborate with business stakeholders and technical teams, drive AI-assisted improvements, and resolve complex defects while ensuring adherence to production-critical processes.