Job Title: Expert D&T; Se anima a todos los posibles solicitantes a que se desplacen y lean la descripción completa del puesto antes de presentar su candidatura.
- Senior Data Modeler (Cross-Domain)

Location:
Barcelona, SpainJoin us as a Senior Semantic Data Modeler and help create the data foundations that enable scientific innovation, analytics, and AI across our Research & Development organization. In this role, you will design, govern, and evolve enterprise data models that transform diverse scientific, experimental, laboratory, and operational data into trusted, discoverable, reusable, and AI-ready assets. Working closely with scientists, business stakeholders, data engineers, architects, and governance teams, you will translate complex research and business requirements into clear, scalable, and reusable data structures. You will play a key role in establishing shared business definitions, semantic consistency, and data standards across domains such as Research, Product Development, Formulation, Ingredients, Manufacturing, Supply Chain, and Finance. We are looking for someone with a strong foundation in data modeling, a practical understanding of modern data platforms, and a passion for enabling better decisions through high-quality data. Experience with FAIR data principles and data management in scientific domains is a plus. Success in this role comes from combining technical expertise with curiosity, collaboration, and the ability to bridge scientific, business, and technology discussions. You are building on a green field. Your

key responsibilities
Design and maintain semantic data models across scientific, research, and enterprise business domains. You will work across data domains.



Partner with scientists and business stakeholders to understand data requirements and translate them into scalable and reusable data structures. Define the semantic layer, source-to-target mappings and support data integration, migration, and transformation initiatives across research and enterprise platforms. 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 bringBachelor's, Master's,



or PhD degree in Data, Computer Science, Informatics, Engineering, Life Sciences, or a related discipline, with relevant experience in data modeling or information management. Experience in data modeling, information architecture, metadata management, FAIR data and/or related data management disciplines. Hands-on experience in semantic and graph data modeling, including approaches such as Entity Relationship, Dimensional, Data Vault, and Semantic Modeling -triplet stores as well as LPGs. Experience working with scientific, research, laboratory, manufacturing, or other complex data-intensive environments, or a strong interest in applying data management practices within these domains. Working knowledge of data governance, metadata management, data quality, lineage, and FAIR data principles, with an understanding of how these practices enable trusted and reusable data assets. Experience working with life sciences ontologies. Familiarity with modern data platforms and technologies such as Databricks, cloud data platforms, RDF, OWL, JSON, LPGs, Cypher, SPARQL, SQL, Python, lakehouse architectures, data products, AI concepts, prompt engineering and vive codingStrong communication, out of the box thinking and stakeholder management skills, with the ability to align scientists, business teams, engineers, and architects around a common data language and operating model. About dsm-firmenichAt dsm-firmenich, we don't just meet expectations – we go beyond them. Join our integral 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 i

📌 Expert D&T (Barcelona)
🏢 The BIG Jobsite
📍 Barcelona