Snowflake Data Engineer - Portfolio Suitability

Experis - ManpowerGroup; Greater London; On-site; GBP 92,250 - 129,150; Full time

Job summary

Experis - ManpowerGroup's client is seeking an experienced Data Engineer to join a leading Investment organisation on a major regulatory and business transformation programme focused on Portfolio Suitability. This is an Inside IR35 contract for 6 months, with offices in London, Liverpool, or Glasgow at least 3 days per week.

The role emphasises portfolio suitability challenges, an AI-first approach, and strong Snowflake capability within a modern engineering environment.

Qualifications

• Expert-level Snowflake experience.
• Strong dbt (Data Build Tool) expertise.
• Star Schema data modelling.
• Experience with time-series market data and financial data ingestion.
• Data engineering experience within financial services.
• Experience working in risk-related environments.
• Strong stakeholder management and communication skills.

Responsibilities

• Portfolio Suitability expertise within a financial services environment.
• AI-first mindset, with enthusiasm for AI-enabled engineering and modern development tools.
• Strong Snowflake experience.

Skills

Snowflake

dbt

Star schema

Time-series data

Data engineering in FS

Risk environments

Stakeholder mgmt

Tools

GitHub Enterprise

Snowflake Cortex AI

AI-assisted workflows

Job description

Experis' client are looking for an experienced Data Engineer to join a leading Investment organisation on a major regulatory and business transformation programme focused on Portfolio Suitability. This is an Inside IR35 contract opportunity, for a 6 month duration. Candidates must be able to work from one of the client's offices in London, Liverpool, or Glasgow at least 3 days per week.

Key Responsibilities

• Portfolio Suitability expertise within a financial services environment
• AI-first mindset, with enthusiasm for AI-enabled engineering and modern development tools
• Strong Snowflake experience

Candidates who are already helping to solve portfolio suitability challenges within another financial services organisation will be particularly well suited to this opportunity.

Essential Skills

• Expert-level Snowflake experience
• Strong dbt (Data Build Tool) expertise
• Star Schema data modelling
• Experience with time-series market data and financial data ingestion
• Data engineering experience within financial services
• Experience working in risk-related environments
• Strong stakeholder management and communication skills

Modern Engineering Environment

The organisation is investing heavily in modern engineering practices and tooling, including:

• Snowflake Cortex AI
• GitHub Enterprise
• AI-assisted development workflows
• Modern cloud data engineering capabilities

Direct experience with these tools is not essential, but candidates should be enthusiastic about leveraging AI to improve productivity and engineering outcomes.

The Opportunity

This is a highly visible programme with significant regulatory importance and strong executive sponsorship. Successful candidates will play a key role in shaping a modern data platform while working closely with senior stakeholders across the business.

If you're a Snowflake Data Engineer with financial services experience, a strong interest in AI, and exposure to portfolio suitability challenges, we'd be keen to hear from you.