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 Senior 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
- Experience with either Databricks or Microsoft Fabric is required; experience with both is a strong advantage.
- 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, able to work independently in complex environments
- Fluency in English is a must, French/German is nice to have
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.