

Strike IT Recruitment Services
Data Engineer / Developer - London | Snowflake | Azure | SQL - Asset Management
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer/Developer in London, focusing on Snowflake and Azure within asset management. Contract length is 3 months, with a pay rate inside IR35. Key skills include SQL, Azure Data Factory, and ETL processes. Hybrid work model applies.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
July 11, 2026
🕒 - Duration
3 to 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Scripting #Azure SQL #Agile #Scrum #Data Pipeline #Data Ingestion #SQL (Structured Query Language) #QlikView #Azure Data Factory #BI (Business Intelligence) #Microsoft Azure #Snowflake #Documentation #Terraform #"ETL (Extract #Transform #Load)" #Cloud #Azure #Data Engineering #dbt (data build tool) #Scala #ADF (Azure Data Factory) #Microsoft Power BI #GIT #Data Lake
Role description
A leading asset manager is embarking on a cloud-based data transformation and is seeking a skilled Snowflake / Azure Data Engineer to support the delivery of a scalable, secure, and insight-ready data platform.
Experience working in asset management & investment management is highly desirable. Knowledge of Aladdin Data Cloud (ADC) is advantageous but not essential.
INSIDE IR35
HYBRID WORKING - LONDON - 3 DAYS AT THE OFFICE
3 MONTHS INITALLY WITH A VIEW TO EXTEND
Responsibilities:
• Platform Development: Support the evolution of a modern data platform by building pipelines and models using Azure Data Factory, Azure SQL, and Snowflake.
• Technical Collaboration: Work alongside architects and engineering leads to implement secure, well-governed, and performant data infrastructure – leveraging tools like Git, Terraform, DBT, and CI/CD pipelines.
• Data Engineering: Design and implement ETL/ELT pipelines, transformation logic, and robust ingestion processes from various internal and third-party sources.
• Stakeholder Engagement: Translate data requirements from business stakeholders (across investment, risk, finance, and operations) into technical specifications and data models.
• Documentation & QA: Maintain clean, well-documented architecture and development practices, with a focus on testable, reliable code.
• Analytics & BI Enablement: Support downstream data consumption via Power BI or QlikView, helping to deliver timely, actionable insights.
Experience:
• Proven experience developing Snowflake data platforms in enterprise environments.
• Strong proficiency with Microsoft Azure, particularly Azure Data Factory, Azure SQL, and Azure Data Lake.
• Experience with data pipeline orchestration, optimisation, and real-time or near-real-time data ingestion.
• Proficiency in SQL and scripting for complex transformations and data validation.
• Familiarity with Power BI or QlikView for delivering data insights and visualisations.
• Experience with Azure Functions is a plus.
• Exposure to or experience with Aladdin Data Cloud (ADC) is beneficial but not required.
• Previous work in asset management, banking, or financial services is highly preferred.
• Excellent communication skills and experience working in Agile/Scrum teams.
A leading asset manager is embarking on a cloud-based data transformation and is seeking a skilled Snowflake / Azure Data Engineer to support the delivery of a scalable, secure, and insight-ready data platform.
Experience working in asset management & investment management is highly desirable. Knowledge of Aladdin Data Cloud (ADC) is advantageous but not essential.
INSIDE IR35
HYBRID WORKING - LONDON - 3 DAYS AT THE OFFICE
3 MONTHS INITALLY WITH A VIEW TO EXTEND
Responsibilities:
• Platform Development: Support the evolution of a modern data platform by building pipelines and models using Azure Data Factory, Azure SQL, and Snowflake.
• Technical Collaboration: Work alongside architects and engineering leads to implement secure, well-governed, and performant data infrastructure – leveraging tools like Git, Terraform, DBT, and CI/CD pipelines.
• Data Engineering: Design and implement ETL/ELT pipelines, transformation logic, and robust ingestion processes from various internal and third-party sources.
• Stakeholder Engagement: Translate data requirements from business stakeholders (across investment, risk, finance, and operations) into technical specifications and data models.
• Documentation & QA: Maintain clean, well-documented architecture and development practices, with a focus on testable, reliable code.
• Analytics & BI Enablement: Support downstream data consumption via Power BI or QlikView, helping to deliver timely, actionable insights.
Experience:
• Proven experience developing Snowflake data platforms in enterprise environments.
• Strong proficiency with Microsoft Azure, particularly Azure Data Factory, Azure SQL, and Azure Data Lake.
• Experience with data pipeline orchestration, optimisation, and real-time or near-real-time data ingestion.
• Proficiency in SQL and scripting for complex transformations and data validation.
• Familiarity with Power BI or QlikView for delivering data insights and visualisations.
• Experience with Azure Functions is a plus.
• Exposure to or experience with Aladdin Data Cloud (ADC) is beneficial but not required.
• Previous work in asset management, banking, or financial services is highly preferred.
• Excellent communication skills and experience working in Agile/Scrum teams.






