Data Engineer - Snowflake / Portfolio Suitability Programme

Data Engineer - Snowflake / Portfolio Suitability Programme

My leading client is seeking an experienced Snowflake Data Engineer to join a strategic Portfolio Suitability Programme within a leading wealth and investment management environment.
This is an exciting opportunity to work on a high-profile data transformation initiative focused on portfolio suitability, investment governance, client outcomes, and regulatory compliance. Candidates with direct experience delivering data solutions on portfolio suitability, suitability assessments, investment management, wealth management platforms, or related regulatory programmes will be highly advantageous.
Key Responsibilities

Design, develop, and maintain scalable data solutions supporting a Portfolio Suitability Programme.
Build and optimise data pipelines for market, portfolio, client, and suitability datasets.
Develop robust data models to support reporting, analytics, regulatory requirements, and AI-driven insights.
Integrate and manage large-scale market and time-series data sources.
Collaborate with business stakeholders, architects, product owners, and delivery teams to translate business requirements into technical solutions.
Ensure data quality, governance, lineage, and consistency across multiple platforms.
Support the adoption of AI-enabled capabilities within the data ecosystem.Required Technical Skills

Snowflake (expert level)
Cortex AI (Snowflake Cortex AI)
Star Schema Data Modelling
Market Data integration and management
Time-Series Data engineering and modelling
Dbt (Data Build Tool)
Claude Code
Data warehousing and ETL/ELT development
SQL and performance optimisation
Cloud-based data engineering experienceHighly Desirable Experience

Wealth Management or Private Banking experience
Investment Management platforms and data
Portfolio Suitability programmes
Suitability monitoring and assessment frameworks
Investment performance and analytics data
Regulatory programmes impacting wealth or investment management
Front-office, investment, or advisory data domainsIf this sounds of interest please send me your cv for more information

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