At a glanceSummarised by Seekless from the posting.
Must have12
5+ years in Data Engineering
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
Experience with integration of SAP data
Leadership mindset and experience in managing data engineering teams
Skilled in distributed data processing (e.g., Spark)
Skilled in data lakes/warehouses, ETL/ELT patterns
Skilled in Python development
Strong problem-solving, ownership, and consulting communication skills
Able to work independently in complex environments
Fluency in English
Nice to have3
Experience with both Databricks and Microsoft Fabric
Fluency in French
Fluency in German
Skills
Databricks
Microsoft Fabric
SAP
Spark
Python
ETL
ELT
data lakes
data warehouses
Benefits
Competitive compensation
Education budget
Sport budget
Flexible working
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.
Responsibilities
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
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Design, build, and maintain scalable data platforms (pipelines, data lakes, data warehouses) on modern cloud infrastructures
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Implement data models, schemas, and governance frameworks to support analytics and reporting needs
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Contribute to technical sales and pre-sales activities, including solution design and estimations
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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
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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.