Join our Platform Engineering team

We're not a strategy firm that ships slide decks and walks away. Not a tech consultancy that builds what won't get adopted. Not a product company chasing problems it doesn't understand. We're all three at once: strategy, deep technical and integration expertise, and product, working as one. That combination is our flywheel. Consulting keeps us close to the hardest real-world problems. Products let us solve them at scale. Every engagement sharpens our products; every deployment makes the next engagement faster, deeper, and more certain.

We're obsessed with outcomes. While 95% of enterprise AI pilots never reach production, Visium is built to be the 5% delivering productised AI that compounds in value, not point solutions that deliver marginal gains. We are AI-native, not AI-adjacent. We don't bolt AI onto broken workflows; we redesign them with AI at the core.

Our Platform Engineering team builds the backbone of our data and AI capabilities, enabling reliable, scalable, and secure platforms for business-critical solutions. We combine expertise from data engineering, cloud engineering, software development, data modeling, and architecture, to create platforms that support both current and future business needs.

You could be involved in:

• Designing and implementing cloud-native platforms and infrastructure
• Building data pipelines, warehouses, and lakehouses for AI pipelines
• Developing software solutions that interact with or leverage platform capabilities
• Defining data models and architecture standards for consistency and scalability
• Ensuring security, reliability, and maintainability of all platform componentsJoin us!

We’re always excited to connect with great talent. By joining this talent pool, you’ll be matched with relevant opportunities as they open within our Platform Engineering team. Here you have some details on what we look for:

• Strong experience in data engineering, cloud engineering, or software development
• Experience with cloud platforms (Azure preferred) and modern data infrastructure
• Familiarity with data modeling, architecture, and platform design
• Hands-on experience with ETL/ELT pipelines, data warehouses, or lakehouses
• Knowledge of containerization, orchestration, and CI/CD pipelines
• Strong problem-solving skills and ownership mindset

• Experience in end-to-end platform development
• Exposure to MLOps, analytics, or AI pipelines
• Ability to influence architecture and technical strategy
• Strong communication skills and ability to work in cross-functional teams
• Strong communication skills and a consulting mindset
• Fluency in French/German