About the role
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.
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