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VWE operates a 48-year-old vehicle information and logistics network serving ~8,000 automotive companies across the Netherlands, Germany, and beyond. The tech stack is heavily .NET/C#/SQL with Azure infrastructure, and the project portfolio reveals a near-term pivot: the company is actively migrating legacy applications to Azure while simultaneously building ML models for SaaS—suggesting a shift from on-premises vehicle-data services toward cloud-native, AI-augmented products. The hiring mix (data and ops roles dominating, with active ML recruitment) confirms this direction.
Tech Stack 22 technologies
Core Stack.NET C# ASP.NET Azure DevOps Angular Python SQL Server WordPress Figma Sketch Pluralsight SQL Blazor Azure Microsoft 365 SharePoint Git Azure Machine Learning Fabric SQL Server Integration Services SQL Server Reporting Services Adobe XD
What VWE Automotive Is Building
◆Challenges
- Migrating to scalable machine learning solutions
- Optimizing system performance
- Optimizing existing models and databases
- Migrating legacy applications to azure
- Building new applications in azure landing zone
- Handling large-scale vehicle data
- Making vehicle data accessible
- Ensuring data availability
- Recruiting top it talent
- Improving hr process quality
▲Active Projects
- Developing ai models for saas solutions
- Migrating data science environment to scalable ml solutions
- Maintaining and optimizing existing models and databases
- Migration to scalable machine learning solutions
- Settlement of vehicles sold via international trade platform
- Transport planning and checks
- Future-proof vitality policy
- M&a organizational development support
- International auction platform
- Wordpress template customization
Hiring Activity
20 roles · 3 in 30d
Department
Seniority
Notable leadership hires: Head of Operations
Company intelligence
