Snowflake Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Snowflake Data Engineer with a 6-month rolling contract in London (hybrid). Pay is up to £700 daily (inside IR35). Key skills include Snowflake, Python, SQL, Power BI, and cloud experience (Azure or AWS).
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
700
-
🗓️ - Date discovered
September 4, 2025
🕒 - Project duration
More than 6 months
-
🏝️ - Location type
Hybrid
-
📄 - Contract type
Inside IR35
-
🔒 - Security clearance
Unknown
-
📍 - Location detailed
London Area, United Kingdom
-
🧠 - Skills detailed
#Microsoft Power BI #Azure #BI (Business Intelligence) #Cloud #DAX #"ETL (Extract #Transform #Load)" #Version Control #Data Modeling #Data Architecture #Python #Snowflake #SQL (Structured Query Language) #Strategy #AWS (Amazon Web Services) #Data Engineering
Role description
Client: Investment Bank
Contract Length: 6 months rolling
Location: London, City - Hybrid
Daily rate: Up to £700 (inside IR35)
Key Responsibilities/Requirements:
• Develop and manage Snowflake-based data solutions
• Collaborate with cross-functional teams on data architecture and pipeline strategy
• Create ETL/ELT workflows using Python and SQL, integrating orchestration tools where applicable
• Optimize Snowflake performance and lead data modeling efforts
• Strong Power BI experience.
• DAX
• Strong SQL, Python, and version control skills
• Cloud experience (Azure or AWS)
• Data architecture acumen, including modeling and performance tuning
Client: Investment Bank
Contract Length: 6 months rolling
Location: London, City - Hybrid
Daily rate: Up to £700 (inside IR35)
Key Responsibilities/Requirements:
• Develop and manage Snowflake-based data solutions
• Collaborate with cross-functional teams on data architecture and pipeline strategy
• Create ETL/ELT workflows using Python and SQL, integrating orchestration tools where applicable
• Optimize Snowflake performance and lead data modeling efforts
• Strong Power BI experience.
• DAX
• Strong SQL, Python, and version control skills
• Cloud experience (Azure or AWS)
• Data architecture acumen, including modeling and performance tuning
