Data Engineer-Wealth/Asset Management

We're looking for experienced Data Engineers to join a high-profile data transformation programme that will shape the future of investment decision-making and regulatory reporting within a leading financial services organisation. Experience working in Wealth/Asset Management is VERY advantageous

The Role

We're looking for experienced Data Engineers to join a high-profile data transformation programme that will shape the future of investment decision-making and regulatory reporting within a leading financial services organisation. Experience working in Wealth/Asset Management is VERY advantageous

The Role

As a Data Engineer, you'll be responsible for designing, building and optimising scalable data solutions within a modern Snowflake environment. Working closely with technical teams, business stakeholders and investment specialists, you'll help deliver robust data products that support portfolio analysis, regulatory requirements and business decision-making.

Key Responsibilities

• Design, develop and maintain scalable data pipelines using Snowflake and DBT.
• Build high-quality data models, including dimensional and star schema models.
• Engineer solutions supporting complex investment and portfolio data.
• Work with market data platforms and external data feeds.
• Develop solutions for time-series datasets and analytical workloads.
• Collaborate with business stakeholders to understand requirements and translate them into technical solutions.
• Contribute to the ongoing evolution of the organisation's cloud data platform.
• Support the adoption of modern engineering practices, automation and AI-assisted development tools.
• Champion best practice around data quality, governance and performance optimisation.

Skills & Experience

Essential

• Strong commercial experience as a Data Engineer.
• Expert knowledge of Snowflake.
• Strong experience with DBT.
• Data modelling experience, including dimensional modelling and star schemas.
• Experience working with time-series data.
• Experience integrating and managing market data feeds or financial datasets.
• Strong SQL and analytical problem-solving skills.
• Financial Services experience, ideally within Wealth Management, Asset Management or Investment Management.
• Excellent stakeholder management and communication skills.

Highly Desirable

• Experience working with:
  • Portfolio suitability
  • Portfolio risk
  • Investment analytics
  • Investment data platforms
• Exposure to modern AI-assisted engineering tools such as GitHub Copilot, Claude, Snowflake Cortex AI or similar.
• Experience within modern cloud-native data platforms and DevOps practices.
• GitHub Enterprise or similar source control experience.

What We're Looking For

We're looking for engineers who combine deep technical expertise with genuine curiosity.

You'll be someone who:

• Enjoys solving complex business problems through data.
• Is hands-on and enjoys building solutions rather than simply designing them.
• Takes ownership and proactively engages with stakeholders.
• Can explain technical concepts clearly to both technical and non-technical audiences.
• Has a genuine interest in modern engineering practices and AI-powered software development.
• Thrives in collaborative, fast-paced delivery environments.

Technology Stack

• Snowflake
• DBT
• SQL
• GitHub Enterprise
• Modern cloud data architecture
• AI-assisted engineering tooling
• Market Data Platforms

Why Apply?

• Join a major business transformation programme with significant executive sponsorship.
• Work on genuinely greenfield and transformational data solutions.
• Influence the design of a modern enterprise data platform.
• Collaborate with senior business stakeholders and investment specialists.
• Be part of an organisation investing heavily in cloud technologies, modern engineering practices and AI-enabled development.
• Excellent opportunities for career growth, technical ownership and long-term impact.

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