

Robert Half
DBT Data Engineer (DBT & Snowflake)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a DBT Data Engineer (DBT & Snowflake) on a 6–12 month contract, paying £450/day, hybrid in London. Key skills include DBT Cloud expertise, Snowflake optimization, Azure experience, and SQL proficiency. Financial services experience is desirable.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
480
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🗓️ - Date
November 11, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Security #Databricks #Monitoring #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #Automation #Data Engineering #Synapse #Agile #dbt (data build tool) #Data Governance #Cloud #Macros #Snowflake #Documentation #Consulting #Azure DevOps #Azure #Data Pipeline #Replication #DevOps #Data Warehouse
Role description
DBT Data Engineer (Snowflake, Azure) | Insurance | London (Hybrid)
Robert Half International (an S&P 500 global staffing provider) is supporting a global consulting firm in sourcing an experienced DBT Data Engineer to join a major insurance client engagement. The role focuses on scaling a Snowflake Data Warehouse and expanding its DBT Cloud modelling capabilities to support new analytics and regulatory data use cases across the business.
Assignment Details
• Initial Duration: 6–12 months (until March 2026, likely extension given scope)
• Location: Hybrid – minimum of 2 days per week in London
• Day Rate: £450 PAYE (plus 12.07% holiday pay – PAYE with employer’s NI & Tax deducted at source, unlike umbrella companies and no umbrella company admin fees)
You’ll be part of a growing data engineering function focused on DBT model development, Snowflake optimisation, and data governance across multiple data domains. This role suits a technically strong engineer with proven DBT Cloud experience who can take ownership of data pipelines and drive best practices in transformation, testing, and automation.
Key Skills & Experience
• Deep DBT Cloud expertise, including models, macros, tests, documentation, and CI/CD integration.
• Hands-on experience developing and optimising in Snowflake Cloud Data Warehouse (schemas, warehouses, security, time travel, performance tuning).
• Familiarity with Snowflake cost monitoring, governance, replication, and environment management.
• Strong understanding of data modelling (star/snowflake schemas, SCDs, lineage).
• Proven Azure experience (Data Factory, Synapse, Databricks) for orchestration and integration.
• Proficient in SQL for complex analytical transformations and optimisations.
• Comfortable working in agile teams and using Azure DevOps for CI/CD workflows.
• Prior experience in financial services or insurance environments would be desirable
All candidates must complete standard screening (Right to Work, DBS, credit/sanctions, employment verification).
This is an exciting opportunity for a DBT-focused Data Engineer to join a high-performing consulting team and help build, scale, and optimise modern Snowflake data solutions within a leading insurance organisation.
DBT Data Engineer (Snowflake, Azure) | Insurance | London (Hybrid)
Robert Half International (an S&P 500 global staffing provider) is supporting a global consulting firm in sourcing an experienced DBT Data Engineer to join a major insurance client engagement. The role focuses on scaling a Snowflake Data Warehouse and expanding its DBT Cloud modelling capabilities to support new analytics and regulatory data use cases across the business.
Assignment Details
• Initial Duration: 6–12 months (until March 2026, likely extension given scope)
• Location: Hybrid – minimum of 2 days per week in London
• Day Rate: £450 PAYE (plus 12.07% holiday pay – PAYE with employer’s NI & Tax deducted at source, unlike umbrella companies and no umbrella company admin fees)
You’ll be part of a growing data engineering function focused on DBT model development, Snowflake optimisation, and data governance across multiple data domains. This role suits a technically strong engineer with proven DBT Cloud experience who can take ownership of data pipelines and drive best practices in transformation, testing, and automation.
Key Skills & Experience
• Deep DBT Cloud expertise, including models, macros, tests, documentation, and CI/CD integration.
• Hands-on experience developing and optimising in Snowflake Cloud Data Warehouse (schemas, warehouses, security, time travel, performance tuning).
• Familiarity with Snowflake cost monitoring, governance, replication, and environment management.
• Strong understanding of data modelling (star/snowflake schemas, SCDs, lineage).
• Proven Azure experience (Data Factory, Synapse, Databricks) for orchestration and integration.
• Proficient in SQL for complex analytical transformations and optimisations.
• Comfortable working in agile teams and using Azure DevOps for CI/CD workflows.
• Prior experience in financial services or insurance environments would be desirable
All candidates must complete standard screening (Right to Work, DBS, credit/sanctions, employment verification).
This is an exciting opportunity for a DBT-focused Data Engineer to join a high-performing consulting team and help build, scale, and optimise modern Snowflake data solutions within a leading insurance organisation.






