MPower Plus
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer specializing in Snowflake and Salesforce integration, offering a 12-month contract in London (hybrid). Key skills include Snowflake, SQL, DBT, and banking/wealth management experience. Strong data engineering and stakeholder management abilities are required.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
June 26, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Fixed Term
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Agile #SQL (Structured Query Language) #Azure #dbt (data build tool) #SSRS (SQL Server Reporting Services) #Azure DevOps #Airflow #Datasets #DevOps #Scala #Snowflake #.Net #SSIS (SQL Server Integration Services) #ADF (Azure Data Factory) #Deployment #GIT #Python #Data Engineering
Role description
Data Engineer – Snowflake & Salesforce Integration
Location: London, UK (Hybrid – 3 days/week office as required)
Duration: 12-Month Fixed-Term Contract
Start Date: ASAP
Domain: Banking / Wealth Management (Mandatory)
Key Requirements
• Strong experience with Snowflake, SQL, and DBT
• Exposure to Salesforce and/or .NET / Intelligent Office
• Experience with Azure DevOps, Git, CI/CD, and automated deployments
• Strong data engineering skills, including performance tuning for large datasets
• Ability to design, develop, test, and support scalable data solutions
• Strong stakeholder management and problem-solving skills
Preferred Skills
• Financial Services / Wealth Management experience
• .NET, Azure, Python
• ADF, Airflow, SSIS, SSRS
• Agile delivery methodologies and SDLC support
Data Engineer – Snowflake & Salesforce Integration
Location: London, UK (Hybrid – 3 days/week office as required)
Duration: 12-Month Fixed-Term Contract
Start Date: ASAP
Domain: Banking / Wealth Management (Mandatory)
Key Requirements
• Strong experience with Snowflake, SQL, and DBT
• Exposure to Salesforce and/or .NET / Intelligent Office
• Experience with Azure DevOps, Git, CI/CD, and automated deployments
• Strong data engineering skills, including performance tuning for large datasets
• Ability to design, develop, test, and support scalable data solutions
• Strong stakeholder management and problem-solving skills
Preferred Skills
• Financial Services / Wealth Management experience
• .NET, Azure, Python
• ADF, Airflow, SSIS, SSRS
• Agile delivery methodologies and SDLC support
