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.