Azure DBT Snowflake Data Engineer

Robert Half International (an S&P 500 global staffing provider) is supporting a global consulting firm in sourcing an interim Snowflake Data Engineer. This role will help design and build a new cloud data warehouse solution using Snowflake, dbt, and Azure DevOps, delivering scalable ELT pipelines and optimised data models to support business-wide analytics and reporting.

Assignment Details

• Initial 6-month contract (extensions expected)
• Hybrid - 2 days per week on-site in the City of London
• £400-450 p/dayplus 12.07% holiday pay via PAYE with employer's NI & Tax deducted at source, unlike umbrella companies and no umbrella company admin fees)
• Start Date: c. 1-2 weeks turnaround with anticipated start on w/c 6th April

Key Skills & Experience

• Financial Services will be essential for this opportunity. Ideally Insurance.
• Proven experience building and managing Snowflake Cloud Data Warehouses (warehouses, roles, RBAC, performance tuning, cost optimisation).
• Strong hands-on experience with dbt (modelling, incremental loads, macros, testing, documentation).
• Solid understanding of Azure DevOps for CI/CD pipelines (YAML, environments, approvals, Git branching).
• Excellent SQL engineering and data modelling (star/snowflake schemas, best practices).
• Experience in data pipeline development, data quality, and automation.
• Clear communicator with strong stakeholder engagement across technical and business teams.

Nice to have:

• Exposure to Azure Data Factory, Databricks, or other orchestration tools.
• Python scripting for ELT automation and testing.

All candidates must complete standard screening (Right to Work, DBS, credit/sanctions, employment verification).

Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to diversity, equity and inclusion. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Notice describing how we may process, disclose and store your personal data: