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Data Engineer

Hong Kong💼 Full-time🗓 2026-05-18 → 2026-07-31

Core

Build and operate production data platforms enabling autonomous data pipelines and high-throughput event-driven architecture for institutional digital assets and AI infrastructure.

Role type

Senior Data Engineer (Infrastructure & Data Platform)

Builds

Scalable data infrastructure, tooling, and event-driven systems for trading, investment banking, and AI compute.

Domain

Digital Assets / Finance / AI Infrastructure

Deliverable

production ML models | infrastructure

Required skills

Python, Java, AWS, Kubernetes, Terraform, Kafka, Databricks, Spark, dbt, Airflow

Preferred skills

Generative AI tools, automation platforms, data copilots

Technologies

AWS, Kubernetes, Terraform, Kafka, Databricks, Spark, dbt, Airflow

Responsibilities

Build and maintain tooling and infrastructure for autonomous data pipelines; Own monitoring, alerting, and dataops practices; Operate Kafka as the message broker; Deploy and maintain infrastructure components with Terraform and Kubernetes; Run high-throughput, low-latency processing on Databricks/Spark; Support dbt for transformations and Airflow for orchestration; Troubleshoot production issues and drive fixes.

Seniority

Senior, hands-on IC

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