Senior Data Engineer (Perp DEX)

Hyphen Connect Limited; Hong Kong; On-site; HKD 650,000 - 850,000; Full time

Job summary

Hyphen Connect Limited in Hong Kong is seeking a seasoned Data Engineer to spearhead the development of robust data architectures. This role involves architecting scalable data pipelines and ensuring the end-to-end lifecycle of data in a high-performing infrastructure.

The ideal candidate should have at least 7 years of experience in Data Engineering, with strong proficiency in data architecture and tools like Snowflake and AWS. Join our team and play a crucial role in optimizing data solutions.

Qualifications

• Minimum of 7+ years in dedicated Data Engineering roles.
• Deep expertise in data architecture and warehouse design.
• Proficiency in using AWS services for distributed systems.

Responsibilities

• Architect, build, and maintain scalable data pipelines.
• Enhance data warehouse performance with quality frameworks.
• Collaborate with teams to translate business requirements.

Skills

Data Engineering

Data Architecture

ETL Processes

AWS

Kafka

Tools

Snowflake

Airflow

dbt

Job description

Overview

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: Proven ability to navigate ambiguity and deliver high-quality solutions under tight deadlines.