Data Engineer – AI Solutions – Fintech / Private Markets (Singapore)
Summary
Designs and builds scalable data pipelines and infrastructure for AI-driven analytics in a fintech platform serving private markets.
A leading fintech platform in the private markets space is seeking an experienced Data Engineer to design and build scalable data infrastructure supporting advanced analytics and AI-driven applications. This role works closely with AI engineers and product teams to deliver high-quality data pipelines and data services powering machine learning solutions.
Key Responsibilities:
Design and build scalable data architectures supporting analytics and AI/ML applications
Develop robust data ingestion pipelines to process structured and unstructured datasets
Collaborate with AI engineers to optimise data pipelines for model training and experimentation
Maintain and enhance data warehouses and databases across environments
Implement data solutions including relational, NoSQL, blob, and vector-based data stores
Ensure high data quality, performance, and reliability across platforms
Troubleshoot data issues and implement long-term solutions for system stability
Stay current with developments in data engineering, AI tooling, and cloud infrastructure
Key Requirements
Bachelor's degree in Computer Science, Engineering, or related discipline 5+ years of experience in data engineering, machine learning data pipelines, or similar roles Strong Python experience with data processing and analytics frameworks Experience building vector databases and working with embeddings for LLM-based applications Hands-on experience implementing machine learning pipelines with large datasets Strong experience with Azure data infrastructure and cloud-based data processing Experience in fintech or financial services environments advantageous Interested parties please send your resume to Amy Ong, R1762339 at . Regrettably, only shortlisted candidates will be contacted.
Bachelor's degree in Computer Science, Engineering, or related discipline 5+ years of experience in data engineering, machine learning data pipelines, or similar roles Strong Python experience with data processing and analytics frameworks Experience building vector databases and working with embeddings for LLM-based applications Hands-on experience implementing machine learning pipelines with large datasets Strong experience with Azure data infrastructure and cloud-based data processing Experience in fintech or financial services environments advantageous Interested parties please send your resume to Amy Ong, R1762339 at . Regrettably, only shortlisted candidates will be contacted.