OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.

Who We Are

At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.

About The Team

OKX data team is responsible for the whole data scope of OKG, from techincal selection, architecture design, data ingestion, data storage, ETL, data visualization to business intelligence and data science. We are data engineers, data analysts and data scientists. The team has end-to-end ownership of most of the data at OKx throughout the whole data lifecycle including data ingestion, data ETL, data warehouse and data services. As a data engineer of the team, you will work with the team to leverage data technologies to empower evidence-based decision-making and improve the quality of the company's products and services.

Responsibilities

Proficient in mainstream cloud computing and big data technologies such as Hadoop, Hive, Flink, YARN, Elasticsearch (ES), Kafka, etc.
Expert in real-time big data processing using Flink, with solid experience in Flink SQL development.
Build and optimize offline and real-time data pipelines to ensure data timeliness and accuracy.
Collaborate with multiple regional teams across PM, Legal, Compliance and Finance to ensure Data Quality, Data Integrity and reporting accuracy.

Requirements

Bachelor's degree or higher from an accredited university in Computer Science or a related field.
3+ years of experience independently handling end-to-end business requirements, with strong self-motivation, a high sense of responsibility, excellent communication and teamwork skills, and a passion for continuous learning and self-challenge.
Proficiency in both English and Chinese (listening, speaking, reading, and writing).
Familiar with data warehouse modeling, with successful experience in designing and refactoring large-scale data warehouses.
Mastery of multiple big data architectures, especially Alibaba Cloud DataWorks/MaxCompute, AWS Spark, Databricks, and StarRocks/Doris.
In-depth understanding of real-time processing, expert in Flink performance tuning and stress testing, and Flink source code reading experience is preferred.

Preferred Qualifications

IELTS score of 7 or above in all four components.
3+ years of work experience in English-speaking regions.
Experience in cross border e-commerce, and familiarity with multi-country, multi-language architectural design is a plus.
Experience with Finance, Legal or Compliance related Data domains

Perks & Benefits

Competitive total compensation package
L&D programs and Education subsidy for employees growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!

Notice

All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website.

Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX's Candidate Privacy Notice.

Senior/Staff Data Engineer, Legal Compliance Data Development