Job Title: Expert D&T; - Senior Data Modeler - Finance

Location: Barcelona, Spain

Join us as a highly motivated and detail-oriented Semantic Data Modeler in the finance data domain. In this role, you will design, develop, and maintain semantic data models that form the backbone of intelligent data integration, provide context for AI and build an important pillar of data quality. In this role, you will design, govern, and evolve enterprise data models, with a focus on the finance data domain. You will work in a green field, emphasizing on finance and considering the big picture of supply chain management; you will deliver semantics for the data in finance for data engineering to implement the corresponding Vault. You will participate in the specification of standards for semantics and enterprise graphs. In this position you will collaborate with other data domains, define and enforce modeling standards, naming conventions, documentation practices and tools supporting the development and consumption of semantic models. This is an incredible opportunity to grow in an organization where critical thinking, out of the box thinking and capacity to deliver are highly appreciated. In this position you will help in building the dsm-firmenich enterprise semantic layer. .

Your key responsibilities

- Own the semantic data modeling end to end life cycle. From use case specification, design, implementation, quality assurance for the resulting data models and AI readiness.
- Facilitate technical alignments across domains, interaction with the vault layer, ensuring historical correctness, structural integrity, and fitness for analytical consumption, designing and specifying data analysis workflows.
- Define and govern the modeling approach determining the structure at each layer based on business and technical requirements.
- Deliver precise implementation-ready model specifications for data engineering teams.
- Translate complex business requirements into formal semantic data models, working directly with subject matter experts and product owners to capture and represent domain semantics accurately.
- Collaborate with BI and analytics teams to validate that consumption-ready structures effectively meet reporting and analytical requirements.
- Define and enforce modeling standards, naming conventions, and metadata documentation practices, maintaining a living catalog of enterprise data models.
- Collaborate with data engineers, architects, and platform teams to implement and operationalize data models in modern cloud and lakehouse environments.
- Apply and help in defining data modeling standards and best practices, including metadata management, semantic consistency, data lineage, and reusable data design.




- Promote data quality, consistency, and governance by establishing common definitions, business rules, and traceability across data products.
- Drive continuous improvement and innovation by simplifying data structures, advancing modeling practices, and enabling analytics, reporting, and AI use cases.

We offer

- Unique career paths across health, nutrition and beauty, explore what drives you and get the support to make it happen.
- A science led company, cutting edge research and creativity everywhere, from biotech breakthroughs to sustainability game-changers, you'll work on what's next.
- Growth that keeps up with you, you join an industry leader that will develop your expertise and technical depth.
- A culture that lifts you up, with collaborative teams, shared wins, and people who cheer each other on.
- A community where your voice matters, it is essential to serve our customers well.

You bring

- Proven ability to implement the enterprise modeling lifecycle — from facilitating conceptual sessions with business stakeholders and domain experts, through logical design, down to physical model specifications — ensuring every layer reflects both business intent and technical feasibility.
- Familiarity with Data Vault 2.0 and understanding of dimensional modeling for analytical consumption. Solid understanding of Medallion Architecture and how modeling responsibilities map to each layer.
- Proven ability to own and govern data models across an integrated historized layer and a business-facing consumption layer, maintaining clear structural contracts between them.
- Ability to produce unambiguous, implementation-ready model specifications that data engineering teams can implement and execute without requiring constant clarification.
- Experience with data modeling, not restricted to SQL but ideally with graph data structures and ontologies –RDF, OWL. JSON, NEO4J, etc.
- Proficiency with data modeling tools and familiarity with how models translate into ETL/ELT patterns, without owning their development. Excellent documentation and communication skills to articulate modeling decisions to both technical and non-technical audiences.
- Experience with SAP data structures and business object models from a modeler’s perspective:



understanding of how SAP organizes key business entities across core modules, the implications of multi-instance SAP landscapes on integration and awareness of the structural differences between ECC and S/4HANA that affect modeling decisions.
- Experience with modern data platforms and technologies such as Databricks, cloud data platforms, semantic layers, RDF, OWL, JSON, LPGs, Cypher, SPARQL, SQL, Python, lakehouse architectures, data products, AI concepts, prompt engineering and vibe coding.

About dsm-firmenich

At dsm-firmenich, we don’t just meet expectations – we go beyond them.

Join our general team powered by science, creativity, and a shared purpose: to bring progress to life.

From elevating health to making fortified food and sustainable skincare, the impact of your work here will be felt by millions – every single day. Whether it’s fragrance that helps you focus, alternative meat that’s better for the planet, or reducing sugar without losing flavor, this is where you help shape the future of nutrition, health, and beauty for everyone, everywhere.

And while you’re making a difference, we’ll make sure you’re growing too. With learning that never stops, a culture that lifts you up and the freedom to move across businesses, teams, and borders. Your voice matters here. And your ideas? They’re essential to our future.

Because real progress only happens when we go beyond, together.

Inclusion, belonging and equal opportunity statement

At dsm-firmenich, we believe being a force for good starts with the way we treat each other. When people feel supported, included, and free to be themselves, they do their best work – and that’s exactly the kind of culture we’re building. A place where opportunity is truly equal, authenticity is celebrated, and everyone has the chance to grow, contribute, and feel they belong.

We’re proud to be an equal opportunity employer, and we’re serious about making our hiring process as fair and inclusive as possible. From inclusive language and diverse interview panels to thoughtful sourcing, we’re committed to reflecting the world we serve.

We welcome candidates from all backgrounds — no matter your gender, ethnicity, sexual orientation, or anything else that makes you, you.

And if you have a disability or need any support through the application process, we’re here to help – just let us know what you need, and we’ll do everything we can to make it work.

Agency statement

We’re managing this search directly at dsm-firmenich. If you’re applying as an individual, we’d love to hear from you. We’re not accepting agency submissions or proposals involving fees or commissions for this role.

📌 Expert D&T - Senior Data Modeler - Finance (Barcelona)
🏢 dsm-firmenich
📍 Barcelona