Data Engineer

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.

This is an opportunity to work on a business-critical initiative that will transform how investment and portfolio data is managed, analysed and utilised across the organisation. You'll be building modern data solutions from the ground up, working alongside senior stakeholders and helping deliver a platform that will have long-term strategic impact.

If you're passionate about solving complex data challenges, enjoy working with investment data, and want to be part of a modern cloud data engineering environment embracing AI-assisted development, we'd love to hear from you.

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.

This is a highly collaborative role where technical excellence is equally as important as communication and stakeholder engagement.

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 & ExperienceEssential

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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