UST

Software/Data Engineer – Data Platforms (Asset & Wealth Management) - Associate Data Architect II

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Software/Data Engineer – Data Platforms (Asset & Wealth Management) in London, UK, on a fixed-term contract. Requires strong Data Engineering experience with Snowflake, Azure, Python, and dbt. Asset & Wealth Management domain experience is essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
August 18, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Fixed Term
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🔒 - Security
Unknown
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📍 - Location detailed
London, England, United Kingdom
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🧠 - Skills detailed
#SQL (Structured Query Language) #React #Automation #AI (Artificial Intelligence) #Azure Data Factory #Data Pipeline #.Net #Pytest #Data Modeling #C# #Deployment #TypeScript #Scala #Azure #Data Engineering #Cloud #dbt (data build tool) #GitHub #DevOps #Microsoft Power BI #ADF (Azure Data Factory) #Python #SnowPipe #Snowflake #Data Architecture #Azure DevOps #BI (Business Intelligence) #"ETL (Extract #Transform #Load)"
Role description
Role Description Software/Data Engineer – Data Platforms (Asset & Wealth Management) Location: London, UK Employment Type: Fixed-Term Employment Start Date: ASAP We are seeking a talented Software/Data Engineer to join our Data Platforms team and help build, modernise, and support a strategic enterprise data platform within the Asset & Wealth Management sector. This role is ideal for a hands-on engineer with strong Data Engineering experience across Snowflake, Azure, Python, dbt, and CI/CD, who enjoys delivering scalable data solutions and working with modern cloud and AI technologies. Key Responsibilities • Design, build, and optimise data pipelines, transformations, and data models using Snowflake, SQL, Python, and dbt • Develop and support cloud-based data solutions within Azure • Manage source control, deployments, and CI/CD processes using Azure DevOps or GitHub • Build automation and integration services using Python • Support production environments, troubleshoot issues, and improve platform reliability • Collaborate with stakeholders, analysts, and engineers to deliver scalable and maintainable solutions • Utilise AI-assisted development tools such as GitHub Copilot to improve productivity and delivery quality What You Will Bring • Strong experience in Data Engineering, ETL/ELT, SQL, Snowflake, and Python • Experience building and maintaining dbt models and data pipelines • Solid understanding of dimensional data modelling (Kimball methodology) • Hands-on experience with Azure Data Factory, Azure Functions, CI/CD pipelines, and cloud deployments • Experience using Azure DevOps or GitHub for source control and release management • Knowledge of modern software engineering practices, testing, and code quality standards • Asset & Wealth Management or Investment Management domain experience is essential Nice To Have Skills • Experience with .NET/C#, React, or TypeScript • Advanced Snowflake capabilities including Snowpipe, Streams, and Tasks • Power BI, semantic modelling, or data product experience • Exposure to AI-enabled solutions and development tools What We're Looking For • A proactive engineer who takes ownership and delivers high-quality solutions • Strong analytical and problem-solving skills • Excellent communication and stakeholder engagement capabilities • A collaborative team player who thrives in a fast-paced environment Key Skills Snowflake, SQL, Python, dbt, Azure Data Factory, Azure DevOps, CI/CD, ETL/ELT, Data Modelling, Asset & Wealth Management. Join us and help shape a modern, cloud-first data platform delivering critical insights and analytics across our Asset & Wealth Management business. #UST Skills Data Engineering, Data Modeling, ETL, SQL, Azure Data Factory, Python, pytest, dbt, Snowflake