Data Engineer - Snowflake&DBT

Company Introduction

We have an exciting opportunity now available with one of our sector-leading consultancy clients! They are currently looking for a skilled Data Engineer with Snowflake & DBT Specialist to join the data engineering team of a global asset manager, supporting Aladdin use-case development and the modernisation of legacy data processes.

Job Responsibilities/Objectives

• The role will focus on building scalable, cloud-native data solutions using Snowflake and dbt, alongside broader data engineering and platform optimisation.
• Develop and maintain data pipelines and transformations using Snowflake, dbt, SQL and Python.
• Build modular, version-controlled dbt models and automated data quality tests.
• Support migration of legacy/on-premise processes to cloud-native architectures.
• Manage the data lifecycle from ingestion through to downstream outputs.
• Implement data governance, lineage and quality controls.
• Optimise Snowflake compute, warehouses and storage for performance and cost.
• Work with developers, testers and offshore teams in an Agile/Scrum environment.
• Support Aladdin use cases and wider data platform development.

Required Skills/Experience

• The ideal candidate will have the following:
• Strong Data Engineering background.
• Extensive hands-on experience with Snowflake and dbt.
• Aladdin experience is a very nice to have.
• Strong SQL and Python skills.
• Experience building data pipelines and modern cloud data architectures.
• Experience with data quality, governance and lineage.
• Experience modernising or migrating legacy data processes.

Desirable Skills/Experience

• Although not essential, the following skills are desired by the client:
• Asset / investment management or financial services experience.
• Aladdin experience.
• Databricks experience.
• Working knowledge of Informatica.
• Experience with cloud migration and Modern Data Stack environments.