Data Modeler

Our client is seeking a highly skilled and experienced Data Modeller to lead the design and development of enterprise-level data models that underpin strategic initiatives and support a data-driven culture. This is a key role where your expertise will directly contribute to building robust, scalable, and future-ready data architecture. This is a hybrid role with 2-3 days in the office per week .

Key Responsibilities

• Design and maintain conceptual, logical, and physical data models to align with evolving business requirements.
• Develop detailed Entity Relationship (ER) diagrams and database designs using tools such as ERWIN.
• Translate business needs into structured data solutions through close collaboration with stakeholders and technical teams.
• Gather and analyse requirements to inform effective data modelling strategies.
• Create comprehensive data mapping documentation and functional specifications for data engineering teams working within Databricks.
• Uphold data integrity, security, and quality across systems.
• Define and advocate for best practices in data modelling standards and methodologies.
• Support data governance, data lineage, and master data management (MDM) initiatives.
• Conduct data profiling and remediate data quality issues proactively.

Skills & Experience

• Proven experience in conceptual, logical, and physical data modelling in enterprise environments.
• Proficient in data modelling tools, especially ERWIN, with a strong command of ER diagram development.
• Skilled in requirements gathering, analysis, and documentation for engineering implementation.
• Familiarity with data governance frameworks, metadata management, and data quality best practices.
• Strong communication and stakeholder management skills, able to work across technical and non-technical teams.
• Hands-on experience with Databricks .
• Analytical thinker with a structured, problem-solving approach and an eye for detail.