Senior / Lead Data Engineer (GCP Focus)

About the Role

We’re looking for experienced data engineers, both senior and lead level, with strong expertise in cloud-based data solutions, ideally within Google Cloud Platform (GCP).

In this role, you’ll be responsible for building, optimizing, and maintaining scalable data pipelines and architectures that support analytics, machine learning, and data-driven decision-making across the organization.

While GCP experience is preferred, we also welcome candidates with AWS or Azure backgrounds who are keen to expand their hands-on experience with GCP.

Fluency in Cantonese is a nice-to-have and will help in collaborating effectively with local stakeholders, but it is not a requirement.

Key Responsibilities

• Collaborate with data analysts and data scientists to design efficient data flows, pipelines, and reporting solutions.

• Work closely with business stakeholders to understand data usage and identify areas for improvement.

• Design and implement cloud-based architecture and deployment processes on GCP (or other cloud platforms).

• Build and maintain data pipelines, transformations, and metadata to support business needs.

• Develop, test, and optimize big data solutions for scalability, performance, and reliability.

• Create and manage relational and dimensional data models aligned with platform capabilities.

• Monitor and maintain the production environment, ensuring data quality, integrity, and governance.

• Lead or contribute to initiatives improving data quality, governance, security, and compliance.

Requirements

• Proven experience as a Data Engineer, ideally with GCP services (e.g., BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Storage).

• Experience with AWS or Azure is highly valued, especially for those eager to become more hands-on with GCP.

• Strong understanding of data architecture, modeling, and ETL/ELT processes.

• Hands-on experience with big data frameworks and modern data tools.

• Excellent communication and collaboration skills across technical and business teams.

• Familiarity with machine learning, AI, or advanced analytics is a plus.

• Cantonese proficiency is a nice-to-have but not mandatory.