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Teams share a common understanding of data. Business concepts, definitions, relationships, ownership and domain boundaries are clearly described and agreed across business and technical teams.
Data designs are traceable and change impacts are understood. Models connect to catalogue entries, definitions, lineage and quality rules, with mappings and dependencies making downstream impacts clear.
Logical models are clearly reflected in physical models, leading to efficient, consistent data design practices
Experience modelling data in Snowflake or a comparable modern cloud warehouse/lakehouse
Business entity discovery
Conceptual and domain data modelling
Interaction, dependency and data-flow modelling
Logical data modelling
Physical and dimensional data design
Canonical and semantic modelling, including shared business measures and definitions
Data product schema and data contract modelling
Metadata management, business glossary and data catalogue integration
Source-to-target mapping and transformation logic
Strong SQL and data querying capability
Use of established modelling tools and repositories, with the ability to maintain versioned, reusable artefacts
The type of candidate that we’re looking for:
We’re looking for an experienced Data Modeller who can work across business and technology teams to understand key concepts, relationships and definitions, and turn them into clear, practical models that people can genuinely use. You’ll have experience across conceptual, logical and physical data modelling, with a good understanding of how these support data products, analytics and modern data platforms.
You’ll be naturally collaborative and comfortable working with domain experts, architects, analysts and engineers to build a shared understanding of data across the organisation. Experience with Snowflake or similar cloud data platforms, SQL, data catalogues, metadata, source-to-target mapping and modelling tools will be useful. Above all, we’re looking for someone who can combine attention to detail with a pragmatic mindset, communicate complex ideas simply and create models that remain useful as the organisation evolves.
Critical Skills
Data Literacy
Systems Thinking
Storytelling
Nurture Relationships
Team Working
Should you choose to use AI tools to support your application, we ask that you do this thoughtfully. We encourage you to ensure your application reflects your own voice, experience, and motivations. We value authenticity and want to understand your individual strengths and perspectives.
At Baillie Gifford, we are committed to fostering an inclusive and respectful culture in which each of our colleagues can thrive and develop. We believe that our clients are best served by a diverse workforce with the experiences, ideas and perspectives that this brings.
If you are currently working at Baillie Gifford as an employee or contractor please apply to this job from the firm's Workday internal career site.
Independent partnership-owned investment manager serving global clients through specialist equity, fixed-income, and multi-asset portfolios.
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