

Intelix.AI
Data Modeler
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Modeler with a 6-month rolling contract in London (hybrid). Pay is £600 p/d outside IR35. Requires strong financial services data experience, enterprise data model ownership, and familiarity with Snowflake and Data Vault methodologies.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
600
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🗓️ - Date
March 30, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Outside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Snowflake #Dimensional Modelling #Vault #Data Vault #Cloud #Physical Data Model
Role description
Principal Data Modeller | Credit / Financial Data
Contract
London | Hybrid / flexible working
£600 p/d Outside of IR35 | 6 Months Rolling Contract
This role requires a senior data modeller to take ownership of a complex financial data domain within a global data and analytics environment focused on defining and stabilising a core credit data model used across multiple products and consumers. You’ll be expected to operate independently, make modelling decisions with incomplete information, and leave behind a clear, buildable structure for engineering teams.
This is a hands-on modelling authority position!
THE ROLE:
• Own the conceptual → logical → physical data model for a core credit domain
• Define and refine key entities such as issuer, instrument, rating, event, and time/history
• Work across fragmented and under-documented data sources to establish clean, canonical definitions
• Produce source-to-target mappings, data dictionaries, and lineage artefacts
• Ensure models are aligned with downstream delivery (data products, feeds, APIs)
• Partner with product, engineering, and domain stakeholders to drive decisions and resolve ambiguity
• Set modelling standards that others can follow and build against
THE REQURIMENTS:
• Strong experience owning enterprise data models (conceptual, logical, physical)
• Proven background in financial services data (credit, risk, markets, or reference data)
• Ability to work in messy environments and reverse-engineer existing data structures
• Experience producing canonical models and governance artefacts
• Comfortable operating independently without heavy oversight
• Strong stakeholder engagement and ability to challenge where needed
• Exposure to Snowflake / modern cloud data platforms
• Experience working with data products, feeds, or APIs
• Familiarity with Data Vault / dimensional modelling approaches
• Experience in environments with multiple data consumers and distribution channels
Principal Data Modeller | Credit / Financial Data
Contract
London | Hybrid / flexible working
£600 p/d Outside of IR35 | 6 Months Rolling Contract
This role requires a senior data modeller to take ownership of a complex financial data domain within a global data and analytics environment focused on defining and stabilising a core credit data model used across multiple products and consumers. You’ll be expected to operate independently, make modelling decisions with incomplete information, and leave behind a clear, buildable structure for engineering teams.
This is a hands-on modelling authority position!
THE ROLE:
• Own the conceptual → logical → physical data model for a core credit domain
• Define and refine key entities such as issuer, instrument, rating, event, and time/history
• Work across fragmented and under-documented data sources to establish clean, canonical definitions
• Produce source-to-target mappings, data dictionaries, and lineage artefacts
• Ensure models are aligned with downstream delivery (data products, feeds, APIs)
• Partner with product, engineering, and domain stakeholders to drive decisions and resolve ambiguity
• Set modelling standards that others can follow and build against
THE REQURIMENTS:
• Strong experience owning enterprise data models (conceptual, logical, physical)
• Proven background in financial services data (credit, risk, markets, or reference data)
• Ability to work in messy environments and reverse-engineer existing data structures
• Experience producing canonical models and governance artefacts
• Comfortable operating independently without heavy oversight
• Strong stakeholder engagement and ability to challenge where needed
• Exposure to Snowflake / modern cloud data platforms
• Experience working with data products, feeds, or APIs
• Familiarity with Data Vault / dimensional modelling approaches
• Experience in environments with multiple data consumers and distribution channels




