.Title: Data ModelerType: Permanent contractStart date: September 2024Location: ValenciaAbout usAt Visium, we enable enterprise executives in defining their AI & Data strategy, execute large scale transformations and implement AI across operations, ensuring their organization becomes future-proof. With expertise in strategy, architecture, cloud engineering, analytics, artificial intelligence and machine learning, we empower our clients to unleash and scale the power of their data. We're on a mission to pioneer a bright future and build future-proof and ethical organizations. Join the curious, the ambitious, the doers, the good-hearted, the ones who build a world we're all in awe of – our Visumees. Ready to become one?We are seeking a skilled and detail-oriented Data Modeller to join our dynamic Data Engineering & Cloud team. The ideal candidate will have a strong background in data modeling, database design, and data architecture. As a Data Modeller, you will be responsible for designing and implementing robust data models that ensure data integrity, scalability, and performance across various systems and applications.ResponsibilitiesData Modeling: Design and develop conceptual, logical, and physical data models to meet the needs of business processes and technical requirements.Database Design: Work closely with database administrators, data engineers, and software developers to implement data models into physical databases.Data Integration: Collaborate with data engineers and ETL developers to ensure seamless data integration from various sources into the data warehouse.Data Architecture: Develop and maintain data architecture standards, ensuring consistency, scalability, and reusability across data models.Metadata Management: Document data models and maintain metadata repositories to ensure data governance and easy data discovery.Data Quality: Work with data governance teams to implement data quality rules and ensure high data accuracy and consistency.Performance Tuning: Optimize database performance by refining data models, indexing strategies, and query performance.Stakeholder Collaboration: Engage with business stakeholders, analysts, and other technical teams to understand data requirements and provide solutions that meet business needs.Technology Evaluation: Stay up to date with the latest trends and tools in data modeling, database management, and data architecture to recommend best practices and innovative solutions.RequirementsBachelor's degree in Computer Science, Information Systems, or a related field.15+ years of experience in data modeling, database design, and data architecture.Proven experience with Data Vault and Kimball modeling.Data Vault 2.0 certification.Experience with relational and non-relational databases (e.G., SQL, NoSQL).Hands-on experience with data warehousing solutions, data lakes, and big data technologies.Familiarity with data governance, data quality, and metadata management practices
