** Please do not contact members of the team.
Term: June – August 2026 (3 months, full-time)
Permanent positions may be offered to selected candidates upon successful completion of their internship, subject to performance.
About us
Cornspring is an innovative FinTech start-up with a mission to empower Family Offices and Asset Owners with real-time, AI-driven data intelligence and portfolio insights.
We are tackling one of the most complex and valuable challenges in finance. Our clients operate at the highest levels of global markets, managing billions in assets, yet they remain constrained by legacy systems that are slow, fragmented, and outdated.
Cornspring is redefining Family Office services by applying state-of-the-art generative AI and Large Language Models to investment, accounting, and operational data. Our platform delivers faster insights, greater transparency, and entirely new ways of interacting with financial information.
The role
We are looking for an enthusiastic and driven Data Engineer Intern to build and maintain ingestion pipelines and validation / reconciliation logic.
If you like system thinking, performance, reliability, and debugging complex problems with strong engineering discipline, we would love to speak with you.
Key responsibilities
- Build efficient data pipelines for financial data flows whilst ensuring data and analytics are leveraged for future growth.
- Monitor data movement, transformation logic and performance of all pipelines as required to maintain data integrity and quality supplied to ML processes.
- Designing and implementing data solutions for new data and servicing initiatives and providing continuous oversight for existing solutions to maintain data accuracy, service quality and solution performance.