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Data Engineer – Crypto Liquidity and Financial Services

SpringCube

Full time - Manager

Crypto & Blockchain

Singapore ( Hybrid )

Published 4 weeks ago

Salary: SGD5,000 - SGD10,000

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Data Engineer – Crypto Liquidity and Financial Services

Company Overview
This organization operates as a unified, non-custodial liquidity network for crypto derivatives traders across centralized (CeFi) and decentralized (DeFi) finance. It provides free access to multi-asset, multi-leg, and multi-protocol liquidity on demand, offering optimized execution without compromising on price, size, immediacy, or costs.

With a diverse, global team and a mission to reshape financial services, the organization facilitates over $10 billion in monthly trading volumes, supported by institutional clients worldwide. Backed by prominent traders and investors, the company strives to deliver cutting-edge infrastructure, empowering financial markets with on-demand liquidity and speed.

Job Description
As a Data Engineer, you will play a critical role in building and optimizing data infrastructure that transforms raw data into actionable insights. Working closely with cross-functional teams, you will design scalable data pipelines, implement data best practices, and support business-critical decision-making processes.

Key Responsibilities

  • Design & Build: Develop and maintain scalable data pipelines, ETL processes, and robust data warehousing solutions.
  • Optimize & Scale: Enhance data infrastructure performance, implement data quality standards, and establish automated monitoring systems.
  • Empower & Enable: Collaborate with product, engineering, and business teams to deliver data solutions that drive strategic insights.
  • Rapid Response: Address urgent data needs and provide timely analyses and solutions for critical business requirements.

Requirements

  • Expertise: Over 7 years of experience in data engineering.
  • Data Architecture: Strong knowledge of data modeling, warehouse design, and ETL best practices.
  • Technical Mastery: Proficiency with modern data tools such as Snowflake, Airflow, and DBT, along with experience in AWS environments.
  • Systems Thinking: Familiarity with distributed systems, data streaming tools like Kafka or Kinesis, and optimizing large-scale data workflows.
  • Agility: Proven ability to handle urgent data requests efficiently while delivering accurate, impactful solutions.

Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore during these challenging times.

  1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
  2. No Client Relationship: This company is not a client of SpringCube unless stated.
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  4. No Liability: SpringCube is not liable for inaccuracies.