YouTrip
Fintech
DataEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer at YouTrip. Skills: Data Engineering, Data Pipelines, SQL, Python, Cloud-native data tooling, AI/ML data workflows. Design, build and operate data pipelines (ETL/ELT), meeting SLAs across SG, TH, AU and our launching markets. Be the custodian of data quality and reliable delivery — define monitoring, alerting, and remediation patterns for both human-consumed analytics AND AI-agent-consumed contexts”
What You'll Achieve.
Own the data infrastructure that supports business reporting, multi-market analytics, and — increasingly — AI agents and AI-powered data products; Driving customer service automation that’s live in production and handling thousands of tickets monthly; Customer-facing AI features launching this year; AI-assisted analytics tooling for internal teams; Exposing well-modeled, well-governed data and agent-accessible interfaces
Industry & Context.
Root-cause analysis on pipeline issues; Challenge the status quo and instinctively look for the next improvement
Travel enthusiast
What They're Looking For.
Must Have
Data Engineering (pipelines, architecture, modeling), SQL, Python, Cloud-native data tooling (BigQuery, Matillion, dbt, Airflow or equivalent)
Nice to Have
Familiarity with AI/ML data workflows, vector stores, or retrieval pipelines, FinTech regulatory data experience (MAS or equivalent), Experience supporting LLM/AI agent infrastructure (RAG, vector indexes, agent observability, evaluation pipelines)
What You'll Do.
build and operate data pipelines (ETL/ELT)
meeting SLAs across SG
AU and our launching markets
Be the custodian of data quality and reliable delivery — define monitoring
and remediation patterns for both human-consumed analytics AND AI-agent-consumed contexts
Continuously improve infrastructure stability
observability and cost efficiency
Strengthen data governance
and audit readiness for MAS and regional regulators
Bring AI-assisted engineering into the daily workflow
How You'll Work.
Team & Collaboration
Partner with our AI / data product builders across customer service automation, customer-facing AI features, internal analytics agents, and future fraud-detection workloads; Work closely with our Product & Engineering counterparts on data-dependent app features; Partnering with diverse stakeholders to surface needs and unblock them; Deep collaboration with technical and business experts across SG and the region
Process & Methodology
Priority management
Full Job Description
YouTrip is the leading and fastest-growing multi-currency payment platform in Asia Pacific. In 2018, we pioneered the region's first multi-currency digital wallet. Now, YouTrip is the #1 multi-currency digital wallet trusted by millions across the region, processing over US$15 billion in total payment value annually. Our consumer and business propositions – YouTrip and YouBiz – empower individuals and businesses with inclusive, accessible, and affordable financial solutions. YouTrip has raised over US$110 million to date, including its recent Series B round led by global venture capital firm Lightspeed Venture Partners—underscoring strong investor confidence in its mission to transform digital financial services across the Asia Pacific. Recognised as World Economic Forum’s Global Innovator 2025, CNBC’s World’s Top Fintech Companies (2025, 2024), and LinkedIn’s Top Startup (2024, 2023), YouTrip is dedicated to creating the next generation of digital finance services for consumers and businesses. Valuing an entrepreneurial culture of diversity and inclusion, we are seeking driven individuals to join our fast-growing regional team as we push the boundaries of innovative fintech solutions. **About the Role ** As a Data Engineer in our Data & Analytics team (Singapore), you’ll own the data infrastructure that supports business reporting, multi-market analytics, and — increasingly — AI agents and AI-powered data products. You’ll work alongside a small high-trust team driving customer service automation that’s live in production and handling thousands of tickets monthly, customer-facing AI features launching this year, and AI-assisted analytics tooling for internal teams. You’ll also work closely with our Product & Engineering counterparts on data-dependent app features. **You Will** * Design, build and operate data pipelines (ETL/ELT), meeting SLAs across SG, TH, AU and our launching markets * Be the custodian of data quality and reliable delivery — define monitoring, ale
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