Cornspring is seeking a Senior Data Engineer to join their innovative FinTech startup focused on empowering Family Offices and Asset Owners with AI-driven data intelligence. This role sits at the intersection of finance and cutting-edge technology, working with state-of-the-art generative AI and Large Language Models.
The position offers a unique opportunity to tackle complex challenges in global finance, where you'll be working with clients who manage billions in assets. As a Senior Data Engineer, you'll be instrumental in developing and maintaining sophisticated ETL pipelines, ensuring data quality, and implementing robust data solutions that drive real business value.
Reporting to the Head of Data Operations, you'll work alongside talented engineers in a high-ownership environment. Your expertise in Python programming and data engineering will be crucial in building and maintaining data infrastructure that powers next-generation financial technology solutions.
The role combines technical excellence with business impact, offering the chance to work with diverse data sources and implement cutting-edge AI technologies. You'll be responsible for everything from data pipeline development to mentoring junior team members, making this an excellent opportunity for someone who wants to make a significant impact in the FinTech space.
Working in a hybrid model from a beautiful Singapore office (2 days per week), you'll enjoy a balance of collaborative in-person work and flexible remote arrangements. The position offers competitive compensation and the opportunity to be part of a revolutionary movement in Family Office technology.
This role is ideal for a seasoned data engineer who is passionate about financial technology, enjoys solving complex data challenges, and wants to be part of a team that's redefining how Family Offices operate. Note that visa sponsorship is not available for this position.