Intelix.AI

Data Modeler

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Modeler in London, offering a 3-6 month contract at up to £500 p/d. Key skills include 8+ years in data modeling, strong Snowflake and SQL expertise, and experience with metadata practices. Financial services experience is a plus.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
700
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🗓️ - Date
January 6, 2026
🕒 - Duration
3 to 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Cloud #Metadata #Vault #JSON (JavaScript Object Notation) #Collibra #BI (Business Intelligence) #Data Vault #MDM (Master Data Management) #Snowflake #SQL (Structured Query Language)
Role description
Lead Data Product Architect/Modeller London Contract | 3-6 Months (Potential for extension) Up to £500 p/d (Negotiable) This is a Greenfield build to turn messy, multi-source data (docs/filings + structured) into dependable, discoverable data products that ship value fast involving: • Domain model & taxonomy • (issuer/instrument/event) — conceptual → logical → physical. • Data product contracts • (JSON schemas, SLAs, versioning, deprecation). • Harmonised feed/mart • Snowflake with lineage/glossary and KPI dashboard (adoption, latency, completeness). Accountabilities • Partner with Product to define personas and success metrics; ship thin-slice products in weeks. • Design for APIs/feeds consumption; keep schemas stable while iterating safely. • Land lineage/metadata and CDEs; make models discoverable (Collibra or similar). • Change & governance guardrails that teams can actually use, not shelfware. • De-risk unstructured→structured mapping with confidence scores and traceable provenance. • Coach squads on domain boundaries, keys, SCDs, and PII handling. Must-haves • 8+ years in data modelling/architecture delivering production data products. • Strong Snowflake (or equivalent cloud DW), SQL, and contract-first design. • Proven lineage/metadata practice (Collibra/Atlan/DataHub) and governance at pace. • Comfortable harmonising documents/filings/events with structured entities. • Clear stakeholder comms with Product/Engineering; outcome-driven, not academic. Nice-to-haves • Financial-services semantics (FIBO/BIAN/ISO 20022) or research/markets data experience. • Data Vault 2.0, MDM (e.g., Profisee), and BI productization experience.