Platform Data Engineer

About Us

Hytech is a global management consulting firm headquartered in Australia and Singapore, specializing in digital transformation for fintech and financial services companies. We empower our clients with comprehensive consulting solutions and robust middle- and back-office support, enabling streamlined operations and forward-thinking strategies.

With a team of over 2,000 professionals, Hytech serves a diverse portfolio of clients, including the world's second-largest CFD trading platform and several leading cryptocurrency exchanges. Our global presence spans across Australia, Singapore, Malaysia, Taiwan, the Philippines, Thailand, Morocco, Cyprus, and more.

Responsibilities

• Own the data-warehouse architecture and ELT pipelines for credit & risk; build a layered model (ODS / DWD / DWS / ADS) on Databricks Lakehouse + Alibaba Cloud DataWorks.
• Lead subject-area modeling for customer, underwriting, disbursement, repayment, collection and anti-fraud; productize reusable metrics and customer profiles.
• Drive the migration from classic batch warehousing to a lakehouse (Delta Lake / Iceberg) — unified streaming + batch writes, consistency, rollback and schema evolution.
• Define and operate the bar for data quality, metadata, lineage, SLA and change-management; guard warehouse and pipeline reliability.
• Partner deeply with risk modeling, product, finance and compliance to land a single source of truth and self-service consumption.
• Lead and mentor a team of 3–5 engineers; own coding standards, review process and on-call rotation.

Requirements

• Bachelor's or above in CS / Software / Math / Statistics;
• 3+ years building warehouses in banking, consumer credit, lending or payments.
• Expert in Kimball dimensional modeling, SCD and metric-layer design.
• Hands-on with Databricks (Delta Lake, Unity Catalog, Spark SQL / PySpark, DLT) and Alibaba Cloud DataWorks (MaxCompute, Hologres, Flink, DataHub).
• Deep SQL & Spark tuning — partitioning, Z-Order, shuffle, broadcast, AQE.
• Familiar with governance tooling (DataHub / Atlas / Data Map).
• Strong cross-functional, upward-communication and written-spec skills.
• Familiarity with AI frameworks and tools such as LangChain, LangGraph, Dify, n8n, and OpenClaw, with hands-on experience applying AI capabilities to solve problems in real-world projects.