Senior Data Modeler

Senior Data Modeller

In Addition To This You Will

• Support initiatives run by the GSTF and demonstrate our company values by providing a clear commitment to environmental and social responsibility.
• Contribute through identifying/proposing local sustainable practices and ideas in accordance with our Sustainability Charter.
• Utilize our sustainability app by taking part in challenges and improving behaviors to be more sustainable.
  

Roles And Responsibilities

• Design, implement, and maintain scalable and modular data models for Snowflake, incorporating region and country-specific extensions without impacting the global core.
• Define, document, and approve changes to the core enterprise data model, embedding business logic into model structures.
• Lead data modelling workshops with stakeholders to gather requirements and ensure alignment between business, engineering, and BI teams.
• Work closely with developers, assigning modelling-related tasks, providing technical guidance, and reviewing outputs.
• Optimise models for performance, data quality, and governance compliance.
• Collaborate with BI teams to ensure semantic consistency and enable self-service analytics.
• Ensure adherence to data security, RBAC, and compliance best practices.
• Use DevOps tools such as Git/Bitbucket for version control of data models and related artefacts.
• Maintain documentation, metadata, and data lineage for all models.
• Preferred: Leverage tools like Matillion or equivalent ETL/ELT tools for model integration workflows.
• Fulfil any additional duties reasonably requested by your direct line leader.
  

Skills

• Proven expertise in designing enterprise-level data models for cloud data platforms, preferably Snowflake.
• Strong understanding of data warehouse design patterns (dimensional, Data Vault, and other modelling approaches).
• Ability to embed business logic into models and translate functional requirements into technical architecture.
• Experience managing and approving changes to the core data model, ensuring scalability, semantic consistency, and reusability.
• Proficiency in SQL with experience in Snowflake-specific features (streams, tasks, dynamic tables).
• Familiarity with ELT/ETL tools such as Matillion, DBT, Talend, or Azure Data Factory.
• Experience with DevOps practices, including Git/Bitbucket for version control of modelling artefacts.
• Knowledge of metadata management, data lineage, and data cataloguing tools.
• Strong understanding of data privacy, governance, and RBAC best practices.
• Excellent communication and stakeholder engagement skills, including leading workshops.
• Can-do attitude with a focus on delivering excellence.
• Optimistic outlook with common sense and a sense of humour.
• High levels of energy, sound judgment, and determination with a sense of urgency.
• Exceptional attention to detail.
• Excellent relationship management and interpersonal skills.
• Open-minded consultative approach.
• Ability to give and receive positive and constructive feedback.
• Creative problem-solving skills.