Visium combines strategy, frontier AI, and deep regulated-industry expertise to build and deploy AI-native systems that reinvent how businesses operate - unlocking the value of AI at scale.
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.
Role
As a Lead Data Engineer, you will play a key role in designing, building, and scaling modern data platforms for our clients.
You will:
- Assess and understand clients’ data landscapes, including sources, architectures, and data quality
- Collaborate with business and IT stakeholders to translate requirements into robust data solutions
- Design, build, and maintain scalable data platforms (pipelines, data lakes, data warehouses) on modern cloud infrastructures
- Implement data models, schemas, and governance frameworks to support analytics and reporting needs
- Contribute to technical sales and pre-sales activities, including solution design and estimations
- Work with large-scale, distributed data systems, troubleshoot issues, and stay current with data engineering best practices
Requirements
In order to apply, this should be part of your background:
- 5+ years in Data Engineering with expertise in Data Platforms, Data Modeling, and building production-grade pipelines
- Strong ability to translate business requirements to tech solutions
- Deep expertise in Microsoft Fabric.
- Experience with integration of SAP data
- Leadership mindset and experience in managing data engineering teams
- Skilled in distributed data processing (e.g., Spark), data lakes/warehouses, ETL/ELT patterns, and Python development
- Strong problem-solving, ownership, and consulting communication skills in English, able to work independently in complex environments
Benefits
What we offer
- A competitive compensation package
- A yearly education budget to steep your learning curve
- A yearly sport budget because a fit body leads to a fit mind
- A flexible working culture because your work-life balance matters to us
- A position that enables you to have an impact on 1’000s of people, and the whole company's growth.
- An international, knowledgeable, and passionate team with a strong collaborative mindset
Check our LinkedIn and website to learn more about us & don’t hesitate to contact us if you have any questions.
Skills Required
- 5+ years in Data Engineering
- Deep expertise in Microsoft Fabric
- Experience with integration of SAP data
- Skilled in distributed data processing (e.g., Spark)
- Strong problem-solving and communication skills
What We Do
Visium is a leading Swiss AI & Data consultancy helping enterprises unlock the full business value of AI. We combine deep technical expertise with a strong consulting foundation to design and deliver strategic, scalable, and compliant AI solutions. We've delivered over 150 AI solutions for some of the world’s leading enterprise, helping them drive efficiency, unlock new revenue streams, and scale solutions that deliver long-term value. From strategy to deployment, our mission remains the same – to build AI that drives measurable, responsible impact at scale. We believe in using AI as a force for good. Through our Visium4Good initiative, we support NGOs and social impact projects on a pro bono basis, using AI to drive positive change where it’s needed most.







