Negotiable
Inside
Hybrid
City Of London, England, United Kingdom
Summary: The Snowflake/Cortex Engineer role involves building and optimizing solutions within Snowflake, focusing on SQL-based data access, integration with AI/ML services, and supporting real-time inference patterns. The position requires strong programming skills in Python and SQL, along with experience in Snowflake Cortex AI capabilities and data processing frameworks. The role is hybrid, requiring presence in London for 2-3 days a week. The contract is inside IR35 and has an immediate start date, lasting until September 2026.
Key Responsibilities:
- Build and optimize solutions within Snowflake, including SQL-based data access and transformation.
- Utilize Snowpark for data processing and ML workloads.
- Integrate with structured and unstructured enterprise data.
- Integrate with external AI/ML services and APIs.
- Support batch and near real-time inference patterns.
- Enable retrieval systems using embeddings and vector-based search approaches.
Key Skills:
- Strong programming skills in Python and SQL.
- Snowflake Cortex AI capabilities.
- Snowpark or similar data processing frameworks.
- API-based architectures.
- Experience building or integrating LLM-based applications.
- Experience with RAG pipelines or retrieval systems.
- Prompt engineering.
- Embeddings and vector search.
- Data-driven AI architectures.
Salary (Rate): undetermined
City: City Of London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
Contract Job Title: Snowflake/Cortex Engineer
Contract Rate: Competitive Inside IR35
Contract Start: Immediate
Contract End: September 2026
Location: London (2/3 days Hybrid)
Key Responsibilities:
- Build and optimize solutions within Snowflake, including:
- SQL-based data access and transformation
- Snowpark for data processing and ML workloads
- Integration with structured and unstructured enterprise data
- Integration with external AI/ML services and APIs
- Support batch and near real-time inference patterns
- Enable retrieval systems using embeddings and vector-based search approaches
Required Skills and Experience:
- Strong programming skills in Python and SQL
- Snowflake Cortex AI capabilities
- Snowpark or similar data processing frameworks
- API-based architectures
- Experience building or integrating:
- LLM-based applications
- RAG pipelines or retrieval systems
- Prompt engineering
- Embeddings and vector search
- Data-driven AI architectures