Senior Data Engineer: End-to-End Pipelines & Quality Data

Nexus Global Pty Limited; Hong Kong; On-site; HKD 900,000 - 1,200,000; Full time

Job summary

Nexus Global Pty Limited is seeking a Senior Data Engineer to deliver high-quality data solutions across diverse business needs. You will build and maintain batch and streaming pipelines, datasets, and data services that are reliable, secure, and easy to consume.

This hands-on role requires designing, testing, deploying, and supporting data products, implementing data quality checks, tuning performance, and collaborating with cross-functional teams while adhering to security and governance

Qualifications

• 8+ years hands-on data engineering experience.
• Proficient in Python and/or Java with advanced SQL.
• Experience with Spark and orchestration tools like Airflow.
• Experience with streaming platforms like Kafka or Pub/Sub.
• Strong engineering discipline: Git, automated testing, CI/CD, observability.
• Experience with cloud data platforms: Azure/AWS/GCP and lakehouse patterns.

Responsibilities

• Build and maintain batch and/or streaming data pipelines end-to-end.
• Develop reusable data transformation patterns and curated datasets for analytics and operations.
• Translate requirements into production-ready data solutions: design, build, test, deploy, support.
• Implement data quality checks, reconciliations, and monitoring/alerting.
• Optimize performance and cost via query tuning and partitioning.
• Maintain documentation, data definitions, and runbooks for pipelines.
• Troubleshoot production issues; perform root cause analyses and fixes.
• Collaborate with upstream/downstream teams to improve interfaces and contracts.
• Follow security and governance expectations for sensitive data and access controls.

Skills

Python

Java

Advanced SQL

Data modelling

Distributed processing

CI/CD

Tools

Spark

Airflow

Kafka

Pub/Sub

Git

CI/CD tooling

Job description

Nexus Global Pty Limited is seeking a Senior Data Engineer to deliver high-quality data solutions across diverse business needs. You will build and maintain batch and streaming pipelines, datasets, and data services that are reliable, secure, and easy to consume.

This hands-on role requires designing, testing, deploying, and supporting data products, implementing data quality checks, tuning performance, and collaborating with cross-functional teams while adhering to security and governance