TechNET IT Recruitment Ltd

Snowflake Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
Nothing Found.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
May 19, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Migration #Python #Data Architecture #Scala #Cloud #Snowflake #Airflow #Data Engineering #AWS (Amazon Web Services) #GCP (Google Cloud Platform) #SQL (Structured Query Language) #Azure #"ETL (Extract #Transform #Load)" #Informatica #Data Pipeline #dbt (data build tool) #Data Quality #Data Migration
Role description
Snowflake Data Engineer We are currently seeking an experienced Snowflake Data Engineer to join a growing data transformation programme for a leading enterprise client. This role is ideal for someone with strong hands-on expertise in modern data platforms, cloud-based data engineering, and large-scale data migration and integration projects. Key Responsibilities • Design, develop, and optimise scalable data solutions using Snowflake • Build and maintain robust ETL/ELT pipelines • Support data migration and transformation initiatives • Work closely with business stakeholders, analysts, and engineering teams • Ensure data quality, governance, and performance best practices are followed • Contribute to data architecture and platform improvement initiatives • Troubleshoot and resolve complex data-related issues Required Experience • 10–15 years of overall Data Engineering experience • Strong commercial expertise with Snowflake • Experience with modern ETL/ELT tools and data pipeline development • Strong SQL and data modelling skills • Experience working within cloud environments (AWS, Azure, or GCP) • Exposure to large-scale enterprise data programmes • Strong communication and stakeholder management skills Desirable Skills • Python or Scala experience • Experience with DBT, Airflow, Informatica, or similar tools • Exposure to Data Warehousing and Lakehouse architectures • Experience within regulated or enterprise environments