> Markdown version of [/jobs/ext/3854730-data-modeller](https://www.wearedevelopers.com/jobs/ext/3854730-data-modeller). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Modeller - **Company:** MORO TECHNOLOGY CORPORATION - **Location:** Gent, Belgium - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Microsoft Azure, Information Systems, Data Architecture, Information Engineering, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Structures, Document-Oriented Databases, Information Model, Python (Programming Language), Meta-Data Management, SQL Databases, Enterprise Data Management, Cloud Platform System, Azure Data Factory, Apache Spark, Data Lakes, Information Technology, Physical Data Models, Data Lakehouse, Domain Driven Design, Databricks - **Published:** October 22, 2026 - **Apply:** https://www.adzuna.be/details/5935516272 ## About the Role We are looking for a highly skilled Data Modeller to design and maintain enterprise and domain-level data models that support operational, analytical, and strategic business needs. This role will be responsible for establishing high-quality, scalable, and reusable data structures across the organization's cloud data platform. Experience with Databricks, Data Architecture, and enterprise data modelling practices is essential., In order to be successful in this role you will need: * Bachelor's degree in Computer Science, Information Systems, Engineering, or related discipline. * 5+ years of experience in enterprise data modelling within modern cloud data environments. * Mandatory experience with Databricks and Data Architecture principles. * Expertise in conceptual, logical, and physical data modelling methodologies. * Strong knowledge of domain-driven design and enterprise information modelling. * Experience with Azure data platforms, Data Lakehouse architectures, SQL, APIs, and data integration. * Understanding of data engineering concepts including Spark, Delta Lake, ETL/ELT, and Python. * Familiarity with metadata management, governance frameworks, and data quality practices. * Experience in logistics, warehousing, transportation, inventory, planning, manufacturing, or supply chain domains. * Experience using AI tools to enhance productivity and solution delivery. ## Description * Design and maintain conceptual, logical, and physical data models for enterprise and domain-specific solutions. * Develop canonical business data models that support cross-functional processes and data integration. * Define data structures for Lakehouse environments built on Databricks and Azure. * Collaborate with architects, engineers, and business stakeholders to understand and translate business requirements into robust data models. * Establish modelling standards, naming conventions, and best practices. * Support the design of data products, reusable data assets, and integration models. * Analyze existing data landscapes and identify opportunities for standardization and optimization. * Document data lineage, metadata, relationships, and information ownership. * Ensure models align with governance, security, and regulatory requirements. * Contribute to architecture reviews and solution design activities., Supporting Your Daily Success * Monthly Meal Vouchers to fuel your creativity. * Premium Private Health Coverage for you and your family. Never Stop Growing * Yearly training budget to master new skills. * Cutting-edge tech setup with optional upgrades to customize your gear. * Structured growth plans and regular progress check-ins. Please note that these are some of the benefits to offer. If you are curious, thoughtful in your approach, and motivated to build technology that lasts, you will find opportunities to learn, contribute, and grow with us.