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AI Data Engineer – Snowflake Cortex

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Jobtailor
Full Time position
Listed on 2026-07-19
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing, AI Engineer (Applied/Software), Data Analyst
Salary/Wage Range or Industry Benchmark: 70000 - 100000 GBP Yearly GBP 70000.00 100000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

Responsibilities

  • Enable AI capabilities on the Data 4.0 platform using Snowflake Cortex
  • Build AI-ready datasets and semantic-ready data products
  • Support use cases such as metric intelligence, anomaly detection and AI-assisted analysis
  • Help define reusable implementation patterns for Snowflake Cortex use cases
  • Work with Analytics Engineering to expose trusted metrics and governed datasets for AI use cases
  • Support future AI/agentic capabilities such as monitoring agents, recommended actions and personalised insights
  • Document implementation patterns, assumptions and platform considerations
  • Ensure AI enablement aligns with data quality, access and governance standards
Requirements
  • Strong hands-on experience with Snowflake
  • Experience or good working knowledge of Snowflake Cortex / Snowflake AI capabilities
  • Strong SQL and data engineering skills
  • Experience preparing AI-ready datasets and semantic-ready data products
  • Understanding of data modelling, metrics and business-friendly data layers
  • Python experience is desirable
  • Understanding of AI-assisted analytics, metric intelligence or agentic use cases is desirable
  • Awareness of data governance, access control and responsible AI considerations
  • Ability to work with platform, analytics engineering and analytics stakeholders
ATS Optimization Keywords

Hard Skills

  • Snowflake
  • Snowflake Cortex
  • SQL
  • data engineering
  • data modelling
  • Python
  • AI-ready datasets
  • semantic-ready data products
  • metric intelligence
  • anomaly detection

Soft Skills

  • collaboration
  • documentation
  • communication
  • problem-solving
  • stakeholder engagement
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