Data Engineer (Web3)

TL;DR

Data Engineer (Web3): Building and operating production data platforms to support digital asset and AI infrastructure with an accent on scalability, reliability, and developer experience. Focus on implementing event-driven architectures using Kafka, managing cloud-native infrastructure via Terraform and Kubernetes, and optimizing high-throughput processing with Spark and Databricks.

Location: Hybrid (Hong Kong)

Company

A global leader in digital assets and data center infrastructure providing solutions for finance and artificial intelligence.

What you will do

• Build and maintain tooling and infrastructure enabling data teams to ship pipelines autonomously.
• Own monitoring, alerting, and DataOps practices to ensure platform reliability.
• Operate Kafka as the core message broker for event-driven architecture.
• Deploy and maintain infrastructure components using Terraform and Kubernetes.
• Execute high-throughput processing on Databricks/Spark and AWS cloud-native services.
• Support dbt transformations and Airflow orchestration across the platform.

Requirements

• 5+ years of experience building data or platform engineering systems in production.
• Strong coding proficiency in Python or Java.
• Proven experience operating production data platforms on AWS.
• Hands-on experience with Kubernetes and Terraform.
• Experience running Kafka or similar brokers in event-driven systems.
• Working knowledge of Databricks/Spark, dbt, and Airflow.

Nice to have

• Experience with dashboarding technologies.
• Knowledge of streaming engines like Flink or kdb.
• Experience with the full lifecycle development of commercial systems.
• Previous experience in the Crypto industry.

Culture & Benefits

• Competitive base salary and discretionary bonus.
• Hybrid working arrangements and flexible paid time off.
• Company-paid health and protective benefits for employees and dependents.
• Generous paid parental leave.
• Free daily snacks in-office and weekly lunches.
• Access to mental health support through Headspace.