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Hytech

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Platform Data Engineer

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Summary

Senior data engineer who owns the data-warehouse architecture and ELT pipelines for credit & risk, building a layered lakehouse model on Databricks and Alibaba Cloud DataWorks. Partners with risk, product, finance and compliance teams, drives data quality and governance, and mentors a team of 3-5 engineers.

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).
  • 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.

Skills

See also

Data Engineering jobs by country — openings, pay and top skills →

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