---
title: 'Senior Data Engineer, Virtual Insurance at AIFT'
canonical: 'https://feeny.ai/job/senior-data-engineer-virtual-insurance-aift-taiwan-9pk8mdxwbrcd'
type: 'job'
last_seen: '2026-09-07'
---

# Senior Data Engineer, Virtual Insurance at AIFT

- **Company:** AIFT
- **Location:** Taiwan
- **Posted:** 2026-02-24
- **Last confirmed live:** 2026-09-07
- **Apply:** https://job-boards.greenhouse.io/aift/jobs/5810418004

## Job description

[Job Overview] We are looking for an experienced Senior Data Engineer to join our engineering team and play a key role in building and scaling our enterprise data platform. You will design, develop, and maintain high-quality data warehouses and data-driven applications that power analytics, reconciliation, and business decision-making across the organization. This role requires strong expertise in modern data architectures, pipeline engineering, and data quality management. The ideal candidate combines hands-on technical capability with a deep commitment to reliability, scalability, and governance in a regulated environment.

[Responsibilities]

- Data operations: own day-to-day operations of data platforms/pipelines capacity, stability, upgrades, deployments, and recovery drills to sustain high availability and low latency.
- Data collection: design/manage multi-source ingestion (exchanges, internal and external systems), protocol parsing, and robust retry mechanisms.
- Develop rule-based and statistical data quality checks (completeness, uniqueness, time alignment, anomaly detection, error handling).
- Implement automated remediation, reconciliation workflows, and historical backfilling.
- Establish monitoring and alerting frameworks to ensure trusted, production-grade datasets.
- End-to-End pipelines: plan and maintain scalable ETL/ELT including scheduling, caching, partitioning, modelling, schema evolution, and lineage to support both batch and real-time streaming.
- Enforce data access controls, encryption, auditing, and classification to comply with internal policies and external regulatory requirements (including PII management).
- Apply Infrastructure-as-Code, data versioning, data tests, and CI/CD to improve predictability and reduce manual risk.
- Contribute to embedded GenAI and LLM-powered data applications for enterprise analytics, reconciliation, and internal productivity use cases.
- Partner with analytics and product teams to operationalize AI-driven data solutions.

[Requirements]

- Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field.
- 5+ years of experience in data engineering, data platform architecture, or AI/ML engineering.
- Strong experience with modern cloud data platforms (e.g., Snowflake, Databricks, BigQuery, Redshift).
- Hands-on experience building BI data foundations and supporting GenAI / LLM architectures.
- Proficiency in SQL and workflow orchestration tools (e.g., Airflow), streaming platforms (e.g., Kafka), and pipeline design best practices.
- Solid understanding of data warehouse development lifecycles and dimensional modeling concepts.
- Familiarity with GitLab and CI/CD pipelines.
- Strong debugging, performance tuning, and problem-solving skills.
- Working knowledge of data governance, lineage, privacy, and security frameworks.

## About AIFT

## Company Overview
- **One-liner**: AIFT (Laboratory for AI-Powered Financial Technologies) is a Hong Kong-based research laboratory and innovation hub that develops AI and data science solutions to transform global financial services.
- **Entity Type**: Private (research lab with spin-off commercialization arm)
- **Headquarters**: Hong Kong Science Park, Shatin, Hong Kong
- **Founded**: Not publicly available
- **Founders**: Co-founded by City University of Hong Kong and Columbia University. Key leadership includes Prof. Houmin Yan (Director), Shi Lei (Deputy Head of Commercialization), and Antony Zhu (Head of Product & Development).

## Core Business
- **Primary industry**: Financial technology (FinTech), AI research & development, blockchain/tokenisation
- **Target customers**: B2B – banks, financial institutions, SMEs, and enterprise clients in the finance sector
- **Mission / purpose**: "Conducting pioneering research, attracting the brightest talents, realizing visionary concepts, and providing the best business solutions for future financial services." [hkaift.com](https://hkaift.com/careers/)

## Products & Services
- **AI-Driven Financial Service**: Research and solution development for AI-powered risk management, investment intelligence, and customer analytics.
- **AI-Enhanced Financial Technology**: Advanced analytics and machine learning models for credit scoring, fraud detection, and regulatory compliance.
- **Social Media Analytics for Financial Technology**: Platforms that mine social media and news data for market sentiment and investment signals.
- **FinSights (Supply Chain Finance)**: A solution showcased at InnoEX 2026 that leverages trusted logistics data to optimize trade finance. [hkaift.com](https://hkaift.com/)
- **Tokenised Deposit Platform**: A joint initiative with JETCO to enable commercial banks to issue and manage tokenised deposits. [hkaift.com](https://hkaift.com/)
- **Tolo Digitech (Spin-off)**: Partnered with fintech firm FUNDel to build a trade finance platform integrating Port Community System data. [hkaift.com](https://hkaift.com/)
- **Portfolio Management System for E-Commerce Loan Securitisation**: A system referenced in AIFT’s portfolio (see About page). [hkaift.com](https://hkaift.com/about-us/)

## Market Standing
- **Valuation / Market Cap**: Not disclosed
- **Key Metric**: Headcount of ~26 employees (as of 2025-2026), with a -17.4% yearly change reported on LinkedIn. [linkedin.com](https://hk.linkedin.com/company/laboratory-for-ai-powered-financial-technologies-limited)
- **Notable Investors / Partners**: JETCO (joint tokenisation platform), FUNDel (trade finance spin-off), Hong Kong Science and Technology Parks (HKSTP), City University of Hong Kong, Columbia University.
- **Growth Signals**: Spin-off company Tolo Digitech launched in 2026; participation in InnoEX 2026; active patent filings (e.g., entity association recommendation, cryptocurrency asset classification). However, headcount declined year-over-year, so growth trajectory appears mixed.

## Competitive Advantages
- **Academic pedigree**: Founded jointly by City University of Hong Kong and Columbia University, giving it deep research capabilities and access to top talent.
- **Ecosystem position**: Located in Hong Kong Science Park, a major R&D hub, and holds strong ties with local banks, regulators, and fintech players.
- **Full-stack FinTech approach**: Combines AI, blockchain, and data science to address both research and commercial deployment (spin-offs, partnerships).
- **Proven commercialization**: Multiple patents granted via Google Patents and live solutions (tokenised deposits, trade finance platform).

## Strategic Focus
- Commercializing research outcomes into market-ready FinTech products.
- Expanding tokenised deposit and digital asset infrastructure for banks.
- Scaling supply chain finance and trade finance solutions via data partnerships (e.g., Port Community System).
- Building a pipeline of spin-off companies to take innovations to market.
- Attracting talent for both research and product development roles (openings listed on [Greenhouse careers page](https://job-boards.greenhouse.io/aift) and internally).

## Why Work Here
- **Mission-driven**: Work at the intersection of AI and finance to solve real-world problems in banking, risk, and trade.
- **Young and growing**: Described as a "young company" with opportunities to get in "on the ground floor" and grow as projects gain momentum. [hkaift.com](https://hkaift.com/careers/)
- **International connections**: Collaborations with top universities and global financial institutions provide a broader perspective.
- **Practical skill development**: Talent training is part of the mission – developers and analysts can build expertise in FinTech ecosystems (Python, Spring Boot, Docker, blockchain, etc.). [hkaift.com](https://hkaift.com/careers/)
- **Vibrant community**: Active member of Hong Kong Science Park, Hong Kong’s largest R&D base, with access to a network of tech companies and events.
- **Work environment**: Office-based in Hong Kong Science Park (Shatin); roles include Software Engineer, Assistant Quantitative Analyst, Data Analyst, and Research Assistant. [hkaift.com](https://hkaift.com/careers/)
- **Culture**: Emphasizes open innovation, cross-boundary collaboration (universities, VCs, financial institutions), and a flat, research-driven atmosphere.

## Sources
1. [hkaift.com (Home Page)](https://hkaift.com/)
2. [hkaift.com (Careers Page)](https://hkaift.com/careers/)
3. [hkaift.com (About Us Page)](https://hkaift.com/about-us/)
4. [LinkedIn Company Profile](https://hk.linkedin.com/company/laboratory-for-ai-powered-financial-technologies-limited)
5. [HKSTP Directory Page](https://www.hkstp.org/en/directory/innohk/laboratory-for-ai-powered-financial-technologies-limited)
6. [Greenhouse Careers Page](https://job-boards.greenhouse.io/aift)

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