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 [email protected].
Regrettably, only shortlisted candidates will be contacted.
EA License Number: 20C0180 | Amethyst Partners | [email protected]