Data Engineer - Real-Time Analytics & Data Pipelines

Mox Bank; Hong Kong; On-site; HKD 480,000 - 750,000; Full time

Job summary

Mox Bank in Hong Kong (SAR) is seeking a Data Engineer to design, maintain and enhance analytical and operational services that power data-driven insights across the business. You will work on data lake, pipelines and large-scale processing, collaborating with data science and product teams to integrate new data sources and models using modern cloud and analytics technologies.

The role emphasizes data security, privacy and scalable architectures, with opportunities to work on cutting-edge

Qualifications

• Design, maintain and improve data lake, data pipelines and large-scale batch and real-time processing systems.
• Collaborate with data science and product teams to integrate new data sources and data models.
• Ensure data accuracy, timeliness and actionable metrics across the business.

Responsibilities

• Highly relevant: design, maintain, and improve various analytical and operational services and infrastructure, including the data lake, databases, pipelines and processing systems.
• Collaborate with data science and product teams to integrate new data sources and data models.
• Work with cutting-edge technologies in the data space to deliver timely insights for growth.

Skills

Distributed computing concepts

Collaboration

Agile methodologies

Tools

Unix environments

Python

Airflow

AWS

Spark

Hadoop

Kafka

Kubernetes

SQL/Redshift

Docker

Pandas

Job description

Mox Bank in Hong Kong (SAR) is seeking a Data Engineer to design, maintain and enhance analytical and operational services that power data-driven insights across the business. You will work on data lake, pipelines and large-scale processing, collaborating with data science and product teams to integrate new data sources and models using modern cloud and analytics technologies.

The role emphasizes data security, privacy and scalable architectures, with opportunities to work on cutting-edge