Data Engineer
Summary
Hands-on Data Engineer building scalable data solutions on a modern analytics platform, primarily using Snowflake, Azure, Python, and dbt within the Asset Management sector.
Data Engineer
Contract until the end of the year - Inside IR35 - up to £490 per day
London based - hybrid working - 3 days a week onsite
Asset Management sector - previous experience required
Overview
We are seeking a hands-on Software/Data Engineer to join a modern data platform team delivering analytics, reporting and AI-enabled solutions. This role is primarily focused on Snowflake, Azure, Python and CI/CD, with some exposure to .NET/C# and React/TypeScript environments.
The successful candidate will build and support scalable data solutions, contribute to cloud-based platform development and help drive engineering best practice across the team.
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.
Essential Skills
- 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
Desirable Skills
- .NET/C#
- React / TypeScript
- Power BI
- Advanced Snowflake capabilities (Snowpipe, Streams, Tasks)