DGH Recruitment

Snowflake Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Snowflake Engineer on a 12-month fixed-term contract, requiring 3 days per week onsite. Key skills include Snowflake expertise, Azure Data Factory experience, and data warehousing knowledge. Strong communication with non-technical stakeholders is essential.
🌎 - Country
United Kingdom
πŸ’± - Currency
Β£ GBP
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
April 23, 2026
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
On-site
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πŸ“„ - Contract
Fixed Term
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
England, United Kingdom
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🧠 - Skills detailed
#Data Engineering #ADF (Azure Data Factory) #Data Pipeline #Azure #Data Ingestion #BI (Business Intelligence) #"ETL (Extract #Transform #Load)" #Snowflake #Version Control #Microsoft Power BI #Dimensional Modelling #Documentation #Dimensional Data Models #Azure Data Factory
Role description
Snowflake Engineer - 3 days per week onsite 12‑month fixed term contract Role Overview A Snowflake Data Engineer role focused on maintaining and enhancing an enterprise data platform. The position centres on building secure, performant data pipelines and analytical models in Snowflake, primarily supporting a Power BI reporting layer. Key Responsibilities β€’ Design and implement dimensional data models in Snowflake to support enterprise analytics. β€’ Build and maintain production-grade data transformation workflows, including version control, testing, and documentation. β€’ Develop and orchestrate data ingestion pipelines using Azure Data Factory (ADF). β€’ Optimise Snowflake warehouses for performance and cost efficiency. β€’ Automate and monitor data loads to ensure timely, reliable data availability. β€’ Implement and manage RBAC and data masking policies to protect sensitive data. β€’ Help define and maintain engineering standards, naming conventions, and CI/CD practices. β€’ Act as a trusted technical advisor to non‑technical business stakeholders. Required Experience & Skills β€’ Strong hands-on experience with Snowflake (architecture, administration, optimisation). β€’ Proven experience with Azure Data Factory (ADF). β€’ Solid understanding of data warehousing and dimensional modelling concepts. β€’ Experience working in enterprise, production data environments. β€’ Ability to communicate technical concepts clearly to non‑technical stakeholders.