{
  "job_id": "GWYi3CGdV711sn1zAAAAAA==",
  "job_city": null,
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  "job_title": "Data Engineer - DBT Azure Snowflake",
  "job_country": "GB",
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      "publisher": "LinkedIn",
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  "employer_name": "Robert Half",
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  "job_posted_at": "1 day ago",
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  "job_description": "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.\n\nAssignment Details\n• Initial 6-month contract (extensions expected)\n• Hybrid – 2 days per week on-site in the City of London\n• £400-450 p/day plus 12.07% holiday pay via PAYE with employer’s NI & Tax deducted at source, unlike umbrella companies and no umbrella company admin fees)\n• Start Date: c. 1-2 weeks turnaround with anticipated start on w/c 6th April\n\nKey Skills & Experience\n• Financial Services will be essential for this opportunity. Ideally Insurance.\n• Proven experience building and managing Snowflake Cloud Data Warehouses (warehouses, roles, RBAC, performance tuning, cost optimisation).\n• Strong hands-on experience with dbt (modelling, incremental loads, macros, testing, documentation).\n• Solid understanding of Azure DevOps for CI/CD pipelines (YAML, environments, approvals, Git branching).\n• Excellent SQL engineering and data modelling (star/snowflake schemas, best practices).\n• Experience in data pipeline development, data quality, and automation.\n• Clear communicator with strong stakeholder engagement across technical and business teams.\n\nNice to have:\n• Exposure to Azure Data Factory, Databricks, or other orchestration tools.\n• Python scripting for ELT automation and testing.\n\nAll candidates must complete standard screening (Right to Work, DBS, credit/sanctions, employment verification).",
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  "employer_website": "https://www.roberthalf.com",
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  "job_posted_at_timestamp": 1773964800,
  "job_posted_at_datetime_utc": "2026-03-20T00:00:00.000Z"
}