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Data Engineer

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Summary

London-based hybrid contract Data Engineer (inside IR35) building a modern data platform in the asset management sector: developing Snowflake models, dbt pipelines and Python automation on Azure, with CI/CD support and some exposure to .NET/C# and React/TypeScript.

Salary: £41,000 - 81,000 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# experience.
  • React / TypeScript experience.
  • Power BI experience.
  • 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 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. This is a London‑based hybrid role with 3 days a week onsite, offered on a contract until the end of the year, inside IR35, with a day rate of up to 490. The role is in the Asset Management sector.

Skills

See also

Data Engineering jobs by country — openings, pay and top skills →

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