Data Modeller

Qualifications, Training and Experience
- At least 3/4 years experience in enterprise data modelling and data platform development.
- Proven hands-on experience with Data Vault 2.0, including:
 Designing Hubs, Links, and Satellites
 Applying business keys and hashing approaches
 Understanding of loading patterns and historisation

- Strong experience in dimensional modelling, including:
 Star schema design
 Fact and dimension modelling
 Performance and usability optimisation for analytics

- Experience applying the right modelling technique for the right use case (e.g., Data Vault vs
dimensional vs 3NF).
- Experience working with Snowflake or similar cloud data platforms.
- Experience building ELT pipelines using SQL and modern data engineering practices.
- Familiarity with metadata-driven development and modelling tools (e.g., Ellie.ai).
- Experience working with version control and CI/CD tooling (ADO Git).
- Strong analytical and problem-solving skills.
- Ability to communicate modelling approaches clearly to both technical and non-technical stakeholders.

- Experience of full development lifecycle and modern delivery approaches.
- Ability to manage workload effectively in a dynamic environment.