Experis UK

Snowflake Data Engineer - Portfolio Suitability

โญ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Snowflake Data Engineer focused on Portfolio Suitability, offering a 6-month Inside IR35 contract. Candidates need expert Snowflake and dbt skills, financial services experience, and a strong interest in AI. On-site work required in London, Liverpool, or Glasgow.
๐ŸŒŽ - Country
United States
๐Ÿ’ฑ - Currency
$ USD
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๐Ÿ’ฐ - Day rate
Unknown
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๐Ÿ—“๏ธ - Date
July 31, 2026
๐Ÿ•’ - Duration
More than 6 months
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๐Ÿ๏ธ - Location
On-site
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๐Ÿ“„ - Contract
Inside IR35
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๐Ÿ”’ - Security
Unknown
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๐Ÿ“ - Location detailed
London, England, United Kingdom
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๐Ÿง  - Skills detailed
#Data Engineering #GitHub #dbt (data build tool) #Cloud #Snowflake #"ETL (Extract #Transform #Load)" #AI (Artificial Intelligence) #Data Ingestion
Role 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 The Client Has Highlighted Three Key Areas Of Focus โ€ข Portfolio Suitability expertise within a financial services environment โ€ข AI-first mindset, with enthusiasm for AI-enabled engineering and modern development tools โ€ข 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 โ€ข Expert-level Snowflake experience โ€ข Strong dbt (Data Build Tool) expertise โ€ข Star Schema data modelling โ€ข Experience with time-series market data and financial data ingestion โ€ข Data engineering experience within financial services โ€ข Experience working in risk-related environments โ€ข Strong stakeholder management and communication skills Modern Engineering Environment The organisation is investing heavily in modern engineering practices and tooling, including: โ€ข Snowflake Cortex AI โ€ข GitHub Enterprise โ€ข AI-assisted development workflows โ€ข 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. If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.