Data Engineer

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)