Title: Senior Data Modeler

Type: Full-time

Location: Barcelona

About us

At Visium, we enable enterprise executives in defining their AI & Data strategy, execute large scale transformations and implement AI across operations, ensuring their organization becomes future-proof.

With expertise in strategy, architecture, cloud engineering, analytics, artificial intelligence and machine learning, we empower our clients to unleash and scale the power of their data.

We're on a mission to pioneer a bright future and build future-proof and ethical organizations. Join the curious, the ambitious, the doers, the good-hearted, the ones who build a world we're all in awe of - our Visiumees.

Ready to become one?

Role

As a Senior Data Modeler, you will play a key role in designing and delivering robust, scalable data models that enable our clients to unlock the full value of their data. You will contribute to critical data initiatives by creating reusable, business-aligned data assets that address complex business challenges. Your work will directly support enterprise data strategies and the implementation of modern, automated data solutions.

You will work closely with client teams to ensure data model consistency, quality, and alignment with enterprise architecture and strategic priorities.

By joining Visium, you will work alongside experts in modern data platforms, data scientists, machine learning engineers, and AI specialists. Our focus is on enabling customers to make their AI use cases enterprise-ready. Since the quality and preparation of data are crucial for AI success, your role will ultimately empower customers to be ready for an AI-driven future.

As an Expert Data Modeler, this is part of your day-to-day activities:

• Translate complex business needs into robust models (focus Data Vault 2.0), including conceptual, logical, and physical layers.
• Design and implement scalable, auditable data products using Data Vault patterns.
• Ensure modeling consistency and alignment with enterprise standards, especially across multiple data domains and delivery teams.
• Collaborate with client stakeholders and data teams to clarify requirements, define model scope, and align on delivery timelines.
• Integrate models with modern data platforms with state-of-the-art toolchains (CI/CD, Git)
• Act as a subject matter expert on modeling approaches, mentoring peers and guiding teams on advanced Data Vault use cases.
  
  

Requirements

To apply, this should be part of your background:

• 4+ years of experience in data modeling, with a proven track record of delivering enterprise-scale data solutions.
• Experience in data modelling techniques (Dimensional, Data Vault)
• Understanding of conceptual, logical, and physical data modeling and their application in modern data ecosystems.
• Solid grasp of data governance principles, metadata management, and maintaining business term alignment across models.
• Experience working in agile environments with a DevOps toolchain (CI/CD, Git, Automation tools)
• Strong collaboration and communication skills, with the ability to work closely with cross-functional client teams.
• Fluency in SQL and experience integrating models into data pipelines and BI/reporting layers.
• Ability to mentor peers and guide modeling decisions, serving as a trusted expert within project teams.

Plus:

• Data Vault 2.0 certification
• Experience with dbt and Databricks
• CI/CD practices and pull request workflows for data models.

We know that great candidates might not check every box. If you're excited about this role and believe you could contribute, we'd love to hear from you.

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.