A leading investment management and technology business is seeking a Senior C# / Snowflake Engineer to join a strategic data transformation programme.
This is a highly visible role within a small, technically strong team responsible for expanding the firm's data capabilities and modernising how investment, portfolio and trade data is distributed across the organisation.
You'll play a key role in building and enhancing a Snowflake-based data platform, working closely with technology, investment and analytics stakeholders.
Responsibilities
- Design, develop and maintain applications using C#/.NET.
- Build integrations between business applications and Snowflake.
- Develop scalable APIs, services and data pipelines.
- Work with large and complex financial datasets.
- Support the migration and onboarding of legacy data into Snowflake.
- Partner with business, operations and technology stakeholders to define and deliver data solutions.
- Contribute to the architecture and long-term direction of the firm's data platform.
- Support emerging AI and analytics initiatives leveraging strategic data assets.
Requirements
- Experience working on enterprise-scale data platforms.
- Strong SQL and database skills.
- Experience handling large, complex datasets.
- Strong understanding of software engineering best practices.
- Asset Management, Hedge Fund or Capital Markets experience.
- Exposure to portfolio, trade, market or risk data.
- Azure and cloud-native architectures.
- Experience using AI-assisted development tools such as GitHub Copilot or Claude.
- Experience working with Portfolio Managers, Traders, Quants or Investment teams.
What's on Offer?
- High-profile strategic programme.
- Direct exposure to investment and technology stakeholders.
- Significant ownership and responsibility.
- Opportunity to shape the future direction of a large-scale data platform.
- Long-term roadmap covering data, analytics and AI.
Details
- Location: London
- Start Date: ASAP
If you're a strong C# Engineer with genuine Snowflake experience and a background working with complex financial data, we'd be keen to hear from you.
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