Senior Data Engineer (Snowflake)

Experis - ManpowerGroup

Greater London

On-site

GBP 70,000 - 90,000

Full time

14 days+

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Job summary

Experis - ManpowerGroup in London is seeking a Senior Data Engineer to support a high-profile data and AI transformation within the Wealth Management space. You will design scalable Snowflake solutions and collaborate with stakeholders across investment, risk, and business areas.

The role offers hybrid working (2 days in the office per week) and a salary range of £70,000 to £90,000 plus bonus, with opportunities to shape regulatory reporting and data quality controls.

Qualifications

  • Strong commercial experience with Snowflake.
  • Excellent understanding of Star Schema / dimensional modelling.
  • Experience with dbt.
  • Strong SQL and data engineering capability.
  • Experience working with time-series market data.
  • Exposure to market data platforms and financial data ingestion.
  • Financial Services experience.
  • Experience working within risk-related environments.
  • Strong stakeholder engagement and communication skills.

Responsibilities

  • Designing and developing scalable data solutions within Snowflake.
  • Building and maintaining data pipelines and transformation frameworks using dbt.
  • Working with complex market, investment and risk datasets.
  • Designing dimensional data models and Star Schema structures.
  • Supporting portfolio suitability and regulatory reporting initiatives.
  • Implementing data quality, validation and governance controls.
  • Working closely with investment, risk and business stakeholders.
  • Contributing to a rapidly evolving Data & AI capability.
  • Leveraging modern engineering practices and AI-assisted development tools.

Skills

Snowflake experience
Star schema
dbt
SQL
Time-series data
Market data ingestion
Financial services
Risk data projects
Stakeholder communication

Tools

Snowflake
dbt
SQL

Job description

Senior Data Engineer (Snowflake)
Permanent | Hybrid (London - 2 days a week in the office)
Salary £70,000 to £90,000 + 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
  • Building and maintaining data pipelines and transformation frameworks using dbt
  • Working with complex market, investment and risk datasets
  • Designing dimensional data models and Star Schema structures
  • Supporting portfolio suitability and regulatory reporting initiatives
  • Implementing data quality, validation and governance controls
  • Working closely with investment, risk and business stakeholders
  • Contributing to a rapidly evolving Data & AI capability
  • Leveraging modern engineering practices and AI-assisted development tools
What We're Looking For
Essential Experience
  • Strong commercial experience with Snowflake
  • Excellent understanding of Star Schema / dimensional modelling
  • Experience with dbt
  • Strong SQL and data engineering capability
  • Experience working with time-series market data
  • Exposure to market data platforms and financial data ingestion
  • Financial Services experience
  • Experience working within risk-related environments
  • Strong stakeholder engagement and communication skills
Highly Desirable
  • Portfolio suitability experience
  • Wealth Management or Asset Management experience
  • Investment Management data experience
  • Regulatory reporting exposure
  • Snowflake Cortex AI and/or Claude Code
  • Medallion Architecture experience
  • Modern data platform delivery experience
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