Data Engineer

A leading global investment firm managing over $77bn in assets is looking to hire a Data Engineer to help build out a new AI platform within its investment business.

This is a hands-on opportunity to work at the intersection of data engineering and applied AI, with real ownership over how a new platform is designed and developed.

The firm has a complex existing data environment and is investing in a new Snowflake Cortex platform, creating the opportunity to build new capabilities rather than simply maintain an established stack.

You’ll join a small engineering team and play a key role in developing the data infrastructure that underpins the firm’s AI capabilities.

Working with Snowflake and Python, you’ll help build data pipelines, develop semantic views, and support the development of AI agents that make complex investment data more accessible and actionable.

With the platform still being built out, you’ll have a genuine voice in architectural decisions, technical direction, and how the platform evolves.

Previous Snowflake Cortex experience isn’t required. The firm is looking for a strong Data Engineer with solid Snowflake and Python skills who is interested in getting hands‑on with emerging AI technologies.

• Building and optimizing data pipelines across a complex investment data environment.
• Developing data models and warehouse structures to support analytics and AI applications.
• Helping build out a new Snowflake Cortex platform, including semantic views and AI agents.
• Working with investment data to support new AI-driven capabilities across the business.
• Contributing to architecture and technical design decisions from an early stage.
• Collaborating with engineers and business stakeholders to turn complex data challenges into practical solutions.

• Strong hands‑on experience with Python and Snowflake.
• A solid background in data engineering, including pipeline development, data modeling, and data warehouse architecture.
• Experience working with complex datasets and interconnected systems.
• The ability to take ownership and contribute in a small, collaborative team.
• A genuine interest in AI and a willingness to learn new technologies.

Experience in asset management, hedge funds, investment management, or another buy‑side environment would be highly relevant.

• Build, don’t just maintain:
  Play a key role in developing a new AI platform.
• Influence the architecture:
  Have a real say in how the platform is designed and evolves.
• Get closer to AI:
  Work directly with Snowflake Cortex and practical AI applications without needing prior Cortex experience.
• Make an impact:
  Join a small team where your contribution will have a visible influence on the technology being built.