Full job description Data Engineer - Investment Management - Snowflake | DBT | Python
Contract: 4-month Initial Contract (Likely Extension)
Location: London (Hybrid Working)
IR35 Status: Inside IR35
An exciting opportunity has arisen for an experienced Data Engineer to join the technology team of a leading investment management organisation.
Working within a highly collaborative Agile environment, you’ll play a key role in designing, developing and enhancing modern cloud-based data solutions that support front-office investment teams and critical business functions.
This is an excellent opportunity to work on a modern Azure and Snowflake data platform, helping to deliver scalable data pipelines, analytics capabilities and business-critical integrations.
The Role
You’ll work closely with Business Analysts, Developers, Testers and business stakeholders to design and deliver high-quality data engineering solutions.
This role combines hands-on engineering with stakeholder engagement and requires someone who enjoys solving complex data challenges within a fast-paced investment management environment.
Key Responsibilities
*Design, build and maintain scalable data pipelines and ETL/ELT solutions
*Develop robust data models and transformations using Snowflake and dbt
*Build and optimise data integrations across multiple platforms and applications
*Work with Azure Data Factory and Databricks to develop modern cloud data solutions
*Develop Python-based automation and data processing solutions
*Write high-performance SQL for data extraction, transformation and reporting
*Work alongside Business Analysts to translate business requirements into technical solutions
*Participate throughout the full software development lifecycle
*Perform testing and support business user acceptance
*Ensure data quality, governance and best engineering practices are followed
*Contribute to continuous improvement of the data platform and engineering standards
Experience:
We’re looking for an experienced Data Engineer with strong cloud data engineering expertise, ideally gained within Financial Services or Asset Management.
You should have strong experience with:
*Snowflake (essential)
*dbt for data transformation (essential)
*Python
*Azure Data Factory
*Azure Databricks
*SQL Server
*Advanced SQL development
*ETL / ELT pipeline development
*Cloud-based data engineering
*Data modelling
*API and data integration
*Git and Agile delivery methodologies
*Full software development lifecycle
Experience within investment management or financial services, including exposure to one or more of the following:
*Front Office or Investment platforms
*Asset Management
*Market or reference data
*ESG / Sustainability data
*Bloomberg Aladdin or Aladdin Data Cloud (ADC)
*Power BI
*Web scraping
*Enterprise scheduling tools such as JAMS