All active dbt roles based in Hong Kong.
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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. We believe that blockchain and digital asset innovation will transform how value moves through the world – and we’re building the products and services to make that future a reality.
Our institutional digital assets platform spans trading, investment banking, asset management, staking, self-custody, and tokenization technology. We also invest in and operate cutting-edge data center infrastructure to power AI and high-performance computing, addressing the growing demand for scalable energy and compute in the U.S.
We work at the intersection of finance and technology, helping institutions, startups, and developers navigate a digitally native economy. Led by CEO and Founder Michael Novogratz, our team blends deep crypto expertise with institutional experience and a shared commitment to shaping the future of Web3 and AI.
Galaxy is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia.
To learn more about our businesses and products, visit www.galaxy.com.
What We Value:
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.
Who You Are:
You're a hands-on data engineer with several years of experience building and operating production data pipelines. You're fluent in Python or Java and comfortable across the modern data stack , AWS, Databricks/Spark, dbt, and Airflow. You care about data quality, write clean and well-tested code, and like owning systems end-to-end. You're curious about crypto and energized by working at the intersection of finance and emerging technology.
What You’ll Do:
What We’re Looking For:
Bonus Points:
What We Offer:
*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.
Ready to apply?
Apply to GalaxyShare this job
We are representing a leading force in the decentralized exchange (DEX). We are seeking a seasoned Data Engineer to spearhead the development of robust data architectures. In this role, you will be responsible for the end-to-end lifecycle of data, from ingestion to insight, ensuring our infrastructure is both high-performing and scalable to meet the demands of a fast-paced business environment.
Key Responsibilities
Design & Architecture: Architect, build, and maintain scalable data pipelines and sophisticated ETL processes to support complex data ecosystems.
Infrastructure Optimization: Enhance data warehouse performance and implement rigorous data quality frameworks to ensure "single source of truth" reliability.
Strategic Partnership: Collaborate closely with Product, Engineering, and Go-to-Market teams to translate business requirements into actionable data solutions.
Operational Excellence: Develop automated monitoring systems to proactively identify and resolve pipeline bottlenecks.
Agile Response: Execute high-priority, ad-hoc data requests and critical analyses with speed and precision to support urgent stakeholder decision-making.
Required Qualifications & Skills
Professional Experience: Minimum of 7+ years in dedicated Data Engineering roles, ideally within a high-growth environment.
Advanced Data Modeling: Deep expertise in data architecture, warehouse design (e.g., Star/Snowflake schemas), and modern ETL/ELT best practices.
Technical Stack: Mastery of the modern data stack, including Snowflake, Airflow, and dbt.
Cloud & Infrastructure: Strong proficiency with AWS services and experience managing distributed systems.
Stream Processing: Hands-on experience with data streaming technologies such as Kafka or Kinesis to optimize large-scale workflows.
Problem Solving: A proven ability to navigate ambiguity and deliver high-quality solutions under tight deadlines.
Ready to apply?
Apply to Hyphen Connect Limited
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