Data Engineer/Developer

Salary: £? - ? per year

Requirements:

• Strong SQL and Snowflake experience.
• Data engineering and ETL/ELT development.
• Dimensional modelling (Kimball methodology).
• dbt development and engineering best practices.
• Azure Data Factory, Azure Functions and CI/CD.
• Python development for automation and data processing.
• Azure DevOps or GitHub.
• Experience using AI development tools such as GitHub Copilot or Microsoft Copilot.
• Financial Services, Asset Management or Wealth Management experience.
• .NET/C#.
• React/TypeScript.
• Power BI.
• Advanced Snowflake capabilities (Snowpipe, Streams, Tasks).

Responsibilities:

• Develop and maintain Snowflake data models, transformations and pipelines.
• Build and enhance dbt models, testing frameworks and deployment processes.
• Develop Python utilities and services for data integration and automation.
• Support Azure Data Factory, Azure Functions and CI/CD pipelines.
• Use Azure DevOps or GitHub for source control, code reviews and deployments.
• Troubleshoot production issues and improve platform reliability and supportability.
• Collaborate with engineers, analysts and stakeholders to deliver practical solutions.

Technologies:

• AI
• Azure
• C#
• CI/CD
• Cloud
• Copilot
• DevOps
• ETL
• GitHub
• Support
• Power BI
• Python
• React
• SQL
• Snowflake
• TypeScript
• dbt
• ASP.NET
• ARM

More:

We are seeking a hands-on Software/Data Engineer to join our modern data platform team delivering analytics, reporting and AI-enabled solutions. Our role is primarily focused on Snowflake, Azure, Python and CI/CD, with some exposure to .NET/C# and React/TypeScript environments. This is a contract role until the end of the year, inside IR35, offering up to £490 per day. We are London based with hybrid working, requiring 2-3 days a week onsite, and the role is within the Asset Management sector with previous experience required. We will build and support scalable data solutions, contribute to cloud-based platform development and help drive engineering best practice across the team.

last updated 34 week of 2026