Data Modeler

Sanderson; England; Hybrid; GBP 50,000 - 75,000; Full time

Job summary

A leading company in data infrastructure seeks a highly skilled Data Modeller to shape the architecture of enterprise-level data solutions. This hybrid role focuses on engaging with stakeholders to develop robust data models and maintain data integrity. If you're experienced in data modelling and governance, explore this opportunity to drive strategic initiatives in a dynamic environment.

Qualifications

• Proven experience in conceptual, logical, and physical data modelling.
• Proficient in ERWIN.
• Strong command of data governance frameworks.

Responsibilities

• Design and maintain data models to meet business needs.
• Develop ER diagrams and database designs.
• Support data governance and data quality initiatives.

Skills

Data Modelling

Requirements Gathering

Stakeholder Management

Data Quality

Analytical Thinking

Tools

ERWIN

Databricks

Job description

Direct message the job poster from Sanderson

Perm Delivery Team Lead - Technology & Architecture

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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Data Infrastructure and Analytics

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