Data Engineer

Advanced Resource Managers Ltd; Greater London; Hybrid; GBP 78,000 - 103,000; Full time

Job summary

Advanced Resource Managers Ltd. seeks a hands-on Data Engineer to join a modern data platform team delivering analytics, reporting and AI-enabled solutions. The role focuses on Snowflake, Azure, Python, and CI/CD with some exposure to .NET/C# and React/TypeScript environments.

You will build scalable data solutions, contribute to cloud-based platform development and promote engineering best practices across the team.

Qualifications

• Hands-on data/ software engineering experience in data platforms.
• Experience with Snowflake and dbt development.
• Strong SQL and data modelling skills.
• Exposure to cloud-based data pipelines and CI/CD.
• Experience with Python for automation.
• Familiarity with Azure Data Factory and DevOps pipelines.

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.
• Collaborate with engineers, analysts and stakeholders to deliver practical solutions.

Skills

SQL

ETL/ELT

Dimensional modelling

Python

Azure

CI/CD

dbt

GitHub

AI tools

Financial services

Tools

Snowflake

Azure Data Factory

Azure Functions

Azure DevOps

GitHub

Power BI

Job description

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)