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.