Data Engineer

Hong KongHong Kongexecutive
Data EngineerData
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Quick Summary

Overview

Who We Are: Galaxy is a global leader in digital assets and data center infrastructure, delivering solutions that accelerate progress in finance and artificial intelligence.

Requirements Summary

You're a hands-on engineer with several years of experience building and operating production data platforms. You're fluent in Python or Java and comfortable across the modern data stack — AWS, Kubernetes, Terraform, Kafka, and Databricks/Spark.

Technical Tools
airflowawsdbthelmjavakafkakubernetespostgresqlpythonsqlterraformagileci-cddatabase-design

We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be.

  • Seek Excellence.
  • Be Selective To Be Effective.
  • Be Highly Aligned, Loosely Coupled.
  • Disagree Transparently.
  • Encourage Independent Decision-Making.
  • Build Dream Teams.

You're a hands-on engineer with several years of experience building and operating production data platforms. You're fluent in Python or Java and comfortable across the modern data stack — AWS, Kubernetes, Terraform, Kafka, and Databricks/Spark. You care about reliability and developer experience, write clean and well-tested code, and like enabling other teams to move fast on infrastructure you own. You're curious about crypto and energized by working at the intersection of finance and emerging technology. 

Responsibilities

~1 min read
  • Build and maintain the tooling and infrastructure that lets data champions ship pipelines autonomously 
  • Own monitoring, alerting, and dataops practices that keep the platform reliable as it scales 
  • Operate Kafka as the message broker powering cross-team event-driven architecture 
  • Deploy, own and maintain infrastructure components (services, OSS helm charts) with Terraform and Kubernetes 
  • Run high-throughput, low-latency processing on Databricks/Spark and cloud-native services on AWS 
  • Support dbt for transformations and Airflow (or similar) for orchestration across the platform 
  • Partner with product, analytics, and infrastructure teams on design and delivery of platform improvements
  • Troubleshoot production issues and drive the fixes
  • Embrace and champion the thoughtful adoption of AI to improve team performance and business outcomes.
  • Leverage AI tools (e.g., generative AI, automation platforms, data copilots) to improve productivity, decision-making, and output quality in your day-to-day work.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field 
  • 5+ years building data or platform engineering systems in production 
  • Strong coding skills in Python or Java 
  • Experience operating production data platforms on AWS and supporting downstream teams who build on them 
  • Hands-on with Kubernetes and Terraform 
  • Experience running Kafka (or a similar broker) in event-driven systems 
  • Working knowledge of Databricks/Spark, dbt, and Airflow 
  • Solid grasp of data modeling, data quality, and relational and non-relational databases (e.g., Postgres, SQL Server) 
  • Comfortable with CI/CD, testing frameworks, and observability tooling 

Requirements

~2 min read
  • Competitive base salary and discretionary bonus
  • Flexible Time Off (paid)
  • Hybrid Working Arrangements 
  • Company-paid health and protective benefits for employees and their eligible dependents
  • Free coaching and counseling sessions through Headspace
  • Generous paid Parental Leave
  • Free daily snacks in-office and weekly lunches 
  • Opportunities to learn about the Crypto industry
  • Smart, entrepreneurial, and fun colleagues
  • Employee Resource Groups

*Benefits may vary depending on location.

Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances.

We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com. 

Location & Eligibility

Where is the job
Hong Kong
On-site within the country
Who can apply
HK

Listing Details

Posted
May 8, 2026
First seen
May 8, 2026
Last seen
June 10, 2026

Posting Health

Days active
33
Repost count
0
Trust Level
23%
Scored at
June 10, 2026

Signal breakdown

freshnesssource trustcontent trustemployer trust
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Data Engineer