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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist - Data Modelling - **Company:** STAFIDE - **Location:** Amsterdam, Netherlands - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Adaptable Database Systems, BigQuery, Data Architecture, Data Integration, Data Structures, Data Systems, Data Vault Modeling, Document-Oriented Databases, Github, Logical Data Models, Oracle SQL Developer, SAP (Applications), SQL Databases, Data Management, Physical Data Models, Data Pipelines - **Published:** September 12, 2026 - **Apply:** https://www.adzuna.nl/details/5879723506 ## About the Role * 8-10 years of overall professional experience in data science, data modelling, data architecture, or closely related data disciplines. * Extensive hands-on experience with data modelling. * Strong experience developing and working with Logical Data Models. * Proven ability to translate between logical and physical data models. * Strong knowledge of Data Vault 2.0. * Strong experience with SQL, particularly Oracle SQL. * Strong understanding of data concepts, data structures, and data modelling principles. * Experience gathering and translating business requirements into data models and technical solutions. * Strong communication and stakeholder management skills. * Experience working closely with Data Architects and Solution Architects. * Experience making technical decisions and progressing work in situations involving incomplete or evolving information. * Experience with data integration and data modelling in SAP-related projects is advantageous. * Knowledge of retail data entities, particularly customer and stock data, is beneficial. * Experience with dbt, BigQuery, and GitHub is advantageous. ## Description * Design and develop data models in consultation with Data Architects and Solution Architects. * Develop and maintain Logical Data Models and translate logical models into appropriate physical data models. * Gather, analyze, and document data requirements from business stakeholders. * Work with stakeholders to understand business requirements and translate them into effective data modelling solutions. * Make informed technical decisions and drive progress in situations where information or requirements may be incomplete. * Apply Data Vault 2.0 principles to design robust and scalable data models. * Develop and work with SQL and Oracle SQL for data modelling and data-related solutions. * Contribute to data integration and data modelling activities within SAP-related projects. * Work with business data entities such as customer and stock within retail-related environments. * Collaborate with Data Architects, Solution Architects, business stakeholders, and technical teams to ensure alignment between business requirements and data architecture. * Follow data modelling standards, best practices, and established architecture principles. * Contribute to continuous improvement of data modelling approaches, processes, and solutions., * Design high-quality logical and physical data models based on business and technical requirements. * Translate complex business requirements into clear and scalable data models. * Explain and communicate data modelling concepts effectively to both technical and non-technical stakeholders. * Gather requirements from business stakeholders and identify the underlying data needs. * Work effectively with incomplete information and make sound technical decisions. * Apply Data Vault 2.0 concepts and principles in data modelling. * Write and understand complex SQL and Oracle SQL queries and data structures. * Collaborate effectively with Data Architects, Solution Architects, developers, and business teams. * Analyze existing data structures and identify opportunities for improvement. * Ensure data models align with business requirements, architecture standards, and technical constraints. * Work independently while taking ownership of data modelling deliverables. * Communicate clearly and effectively in a stakeholder-facing environment. * Adapt to changing requirements and work effectively in a dynamic project environment. What we bring to the table: * The opportunity to work on complex enterprise data modelling and data architecture initiatives. * Exposure to Logical and Physical Data Modelling and Data Vault 2.0 methodologies. * Opportunities to work with Oracle SQL and modern data technologies. * Collaboration with Data Architects, Solution Architects, business stakeholders, and technical teams. * Exposure to data integration and modelling activities within SAP-related projects. * Opportunities to work with modern data technologies such as dbt and BigQuery. * A collaborative environment focused on solving complex data challenges and delivering scalable data solutions. * Opportunities to contribute to data architecture, modelling standards, and continuous improvement. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Making Data Warehouses fast. 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