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Solution Engineer - FSI
Snowflake · GB-London
Big Tech AIClosedonsitemid-level
At a glance
Highlights
- Embedded as dedicated engineer for one global financial institution account.
- Support PoCs for risk analytics, fraud detection and customer intelligence.
- Build tailored demos connecting platform capabilities to business objectives.
Ideal candidate
A curious, low-ego pre-sales technologist with enterprise B2B experience who loves financial services data and is energized by AI-native experimentation, coaching and continuous growth.
Requirements
- 5+ years in pre-sales solution engineering, data engineering or technical consulting in enterprise B2B tech with financial services exposure
- Foundational understanding of cloud data platforms and modern data architectures
- Proficiency in SQL and Python to build PoC pipelines and debug scripts
- Clear communication skills translating technical concepts for engineering and business audiences
- Strong organisational skills managing multiple work-streams in an active sales cycle
- Curiosity about AI and data technology including Snowflake Cortex AI in FSI contexts
Lab profile
About Snowflake
Cloud data platform for storage, analytics, data sharing, and enterprise AI workloads.
What they build
- Snowflake Data Cloud
- Data warehousing and data lakes
- Snowpark developer framework
Known for
- Elastic scalable cloud architecture
- Secure governance and data sharing
- Multi-cloud analytics and AI
Key facts
- Founded in 2012
- Headquartered in Bozeman, Montana
- Public company (NYSE: SNOW)
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