Senior Data Modeler (Data Vault)

United States Digital Space LLC; München; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Competitive pay

Education budget

Sport budget

Flexible work culture

Impact at scale

International team

Zusammenfassung

We are seeking a Senior Data Modeler to design robust, scalable data models that unlock the full value of client data. You will create reusable, business-aligned data assets addressing complex business challenges and support enterprise data strategies and automated data solutions.

You will collaborate with client teams to ensure model consistency and alignment with enterprise standards, working with data platforms, data scientists, machine learning engineers, and AI specialists to enable

Qualifikationen

• 4+ years of experience in data modeling for enterprise-scale solutions.
• Experience with Data Vault and Dimensional modeling techniques.
• Understanding of conceptual, logical, and physical data modeling in modern data ecosystems.
• Strong data governance, metadata management, and business-terms alignment.
• Experience in agile environments with CI/CD and automation tools.
• Fluent in English and able to collaborate with client teams.

Aufgaben

• Translate complex business needs into robust data models (Data Vault 2.0 focus).
• Design scalable, auditable data products using Data Vault patterns.
• Ensure modeling consistency across multiple data domains and teams.
• Collaborate with client stakeholders to clarify requirements and timelines.
• Integrate models with modern data platforms and toolchains (CI/CD, Git).
• Mentor peers and guide teams on advanced Data Vault use cases.

Kenntnisse

Data Vault

Data modeling

Dimensional modeling

SQL

Git

CI/CD

Data governance

Metadata management

DBT

Databricks

Mentoring

Tools

Git

DBT

Databricks

Jobbeschreibung

the company 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, the company 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 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 the company, 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

• 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.
• Fluent in English.
• This role involves frequent travelling to Barcelona or any other client site.

Plus:

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

Benefits

• 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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