Data Engineer

Advanced Resource Managers (A.R.M.); Greater London; Hybrid; GBP 41,000 - 81,000; Full time

Job summary

Advanced Resource Managers (A.R.M.) seeks a hands-on Software/Data Engineer to join a modern data platform team in London. The role focuses on Snowflake, Azure, Python and CI/CD, with some exposure to .NET/C# and React/TypeScript environments to build scalable data solutions.

You will develop data models, pipelines, dbt models and automation utilities while supporting cloud-based platform development and engineering best practices.

Qualifications

• 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.

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.

Skills

SQL

Snowflake

Data engineering

ETL/ELT

Dimensional modelling

Python

AI tools

C# / .NET

React / TypeScript

Power BI

CI/CD

Azure

Azure DevOps / GitHub

Tools

dbt

Azure Data Factory

Azure Functions

Azure DevOps

GitHub

Power BI

React

TypeScript

.NET/C#

ASP.NET

Job description

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.