Senior Data Engineer (Snowflake)

Experis UK; Greater London; Hybrid; GBP 90,000 - 150,000; Full time

Benefits offered by this job

Hybrid work model

Office in London

Job summary

Experis UK is supporting a leading UK Wealth Management organisation in London, hiring two Senior Data Engineers to help transform their Data & AI capability. The roles are permanent and hybrid (London – 2 days a week in the office), with salaries up to £150,000 plus bonus.

You'll design and develop scalable data solutions within Snowflake, deliver data products for client suitability, risk assessments, and Consumer Duty, and build data pipelines and production-grade analytics assets for

Qualifications

• Extensive Snowflake experience in financial services.
• Experience delivering data solutions in Wealth/Asset/Investment Management.
• Strong SQL and data engineering skills.
• Knowledge of star schema/modelling and dbt.
• Experience with market data platforms.

Responsibilities

• Designing and developing scalable data solutions within Snowflake.
• Delivering Portfolio Suitability data products supporting client suitability, risk assessments and Consumer Duty requirements.
• Building investment data products covering portfolios, holdings, transactions, valuations and suitability outcomes.
• Engineering reusable market data and benchmark data products for investment and analytics teams.
• Working with Bloomberg, FTSE, Refinitiv, FactSet or equivalent market data providers.
• Implementing CI/CD pipelines, automated testing and GitHub-based engineering practices.
• Using AI-assisted development tools such as GitHub Copilot or Claude Code.
• Developing reusable Gold Layer assets and analytics-ready datasets for enterprise consumption.
• Building and maintaining data pipelines and transformation frameworks using dbt.
• Designing dimensional data models and Star Schema structures.
• Contributing to a rapidly evolving Data & AI capability.

Skills

SQL

Data engineering

Data quality & governance

Stakeholder engagement

Market data ingestion

Dimensional modelling

Tools

Snowflake

dbt

GitHub Copilot

Claude Code

Job description

Permanent | Hybrid (London – 2 days a week in the office)

Salary up to £150,000 + bonus

We're supporting a leading UK Wealth Management organisation as they continue a significant transformation of their Data & AI capability.

As part of this journey, they're looking to hire two Senior Data Engineers to join a high-profile Portfolio Suitability programme, one of the most strategically important initiatives within the business over the next two years.

This is a highly visible, regulatory-driven programme that will influence how the organisation serves clients, demonstrates suitability, and responds to increasing regulatory expectations. You'll have the opportunity to work directly with senior leadership, investment professionals, and key stakeholders across the business.

What You'll Be Doing

• Designing and developing scalable data solutions within Snowflake
• Delivering Portfolio Suitability data products supporting client suitability, risk assessments and Consumer Duty requirements
• Building investment data products covering portfolios, holdings, transactions, valuations and suitability outcomes
• Engineering reusable market data and benchmark data products for investment and analytics teams
• Working with Bloomberg, FTSE, Refinitiv, FactSet or equivalent market data providers
• Implementing CI/CD pipelines, automated testing and GitHub-based engineering practices
• Using AI-assisted development tools such as GitHub Copilot or Claude Code
• Developing reusable Gold Layer assets and analytics-ready datasets for enterprise consumption
• Building and maintaining data pipelines and transformation frameworks using dbt
• Designing dimensional data models and Star Schema structures
• Contributing to a rapidly evolving Data & AI capability

What We're Looking For

• Excellent commercial experience with Snowflake
• Experience delivering data solutions within Wealth Management, Asset Management, Investment Management or Financial Services environments
• Excellent understanding of Star Schema / dimensional modelling
• Strong experience with dbt
• Strong SQL and data engineering capability
• Strong data quality, lineage and governance experience
• Exposure to market data platforms and financial data ingestion
• Strong stakeholder engagement and communication skills