Data Engineer

About YouTrip

YouTrip is a rapidly expanding multi-currency payments platform serving the Asia Pacific region. Since launching the region’s first multi-currency digital wallet in 2018, the company has grown into the leading solution of its kind, with millions of users and more than US$15 billion in annual payment value processed. Its consumer and business offerings, YouTrip and YouBiz, are designed to make financial services more inclusive, accessible, and affordable for individuals and businesses across the region.

The company has secured over US$110 million in funding, including a Series B round backed by Lightspeed Venture Partners. It has also been recognised by the World Economic Forum as a Global Innovator 2025, by CNBC as one of the World’s Top Fintech Companies in 2025 and 2024, and by LinkedIn as a Top Startup in 2024 and 2023. YouTrip values diversity, inclusion, and an entrepreneurial mindset as it continues building the next generation of digital finance products.

About the Role

As a Data Engineer on the Data & Analytics team in Singapore, you will be responsible for the data foundation behind business reporting, multi-market analytics, and emerging AI-driven data products. You will join a compact, high-trust team working on customer service automation already in production, customer-facing AI features scheduled for release this year, and AI-assisted analytics tools for internal users. You will also collaborate closely with Product and Engineering teams on app capabilities that depend on data.

Key Responsibilities

• Design, develop, and support ETL/ELT pipelines that meet service-level expectations across Singapore, Thailand, Australia, and future markets.
• Own data reliability by defining monitoring, alerting, and recovery approaches for analytics consumers as well as AI-agent-driven use cases.
• Work with AI and data product teams on customer service automation, customer-facing AI experiences, internal analytics agents, and future fraud-related use cases by providing well-structured, governed, and accessible data interfaces.
• Improve the resilience, visibility, and cost effectiveness of the data platform.
• Enhance data governance, handling of personally identifiable information, and audit preparedness for MAS and other regional regulators.
• Adopt and promote AI-assisted engineering practices in day-to-day work.

Requirements

• 0 to 4 years of experience in data engineering, including pipeline development, architecture, or data modelling.
• Strong command of SQL and Python.
• Hands-on familiarity with cloud-based data tools such as BigQuery, Matillion, dbt, Airflow, or similar platforms.
• Exposure to AI/ML data workflows, vector stores, or retrieval pipelines will be an advantage.
• Strong ownership, independence, and prioritisation skills, with a mindset focused on data quality and dependable pipeline operation.
• Ability to design systems that fail safely and recover gracefully.
• Comfort working with new technologies, especially in the AI and agent ecosystem.
• Strong collaboration skills and the ability to work with varied stakeholders to identify requirements and remove blockers.
• Practical problem-solving ability, including root-cause analysis for pipeline issues and a drive for continuous improvement.
• Willingness to use AI tools in engineering workflows and learn quickly with team support.
• Interest in travel and an understanding of cross-border spending behaviour.

Nice to Have

• Experience working with financial technology data requirements, especially MAS or similar regulatory environments.
• Prior involvement in infrastructure for LLMs or AI agents, including RAG systems, vector indexes, agent observability, or evaluation pipelines.

What You Can Expect

• Strong autonomy to innovate and deliver with minimal hierarchy and fast decision-making.
• The opportunity to build core data infrastructure for a leading travel-focused fintech in Southeast Asia.
• Direct reporting line to the Data & Analytics Team Lead.
• Close collaboration with technical and business specialists across Singapore and the wider region.
• Work on data and AI products that are shipped to real customers in multiple markets.

Additional Information

This role is based in Singapore and follows an onsite full-time work arrangement.