OKX

Senior/Staff Data Engineer, Analytics and Reporting

Singapore, Singapore

Pay: Pay not listed
Work setting: Not stated
Employment: Not stated

Before you apply

Sponsorship: Visa sponsorship not confirmed — sponsorship source
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
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What you’ll work on

Full posting

Design, build and maintain analytics-ready data marts using star/snowflake schemas
Partner with analytics and business teams to deliver trusted, documented datasets
Build resilient batch and real-time streaming data pipelines
Architect and design data infrastructure on cloud using industry standard tools
Enforce data standards and improve validation and monitoring to prevent issues

From the employer’s posting

Design, build, and maintain analytics-ready Data Marts using best-practice dimensional modeling (star/snowflake schemas)

Partner with analytics and business teams to understand requirements and deliver trusted, well-documented datasets

Design and build resilient and efficient data pipelines for both batch and real-time streaming data

Architect and design data infrastructure on cloud using industry standard tools

Improve data validation and monitoring processes to proactively prevent, identify and resolve issues

What you’ll bring

All qualifications

Core experience

Bachelor’s Degree in Computer Science and at least 4+ years of experience in Data Engineering with significant focus on Data Marts
Solid Experience with data processing tools such as Spark and Flink
Solid Experience implementing batch and streaming data pipelines

Preferred experience

Experience with Data Analysis platforms like Datawind
Experience in Big Data tools such as Ali Cloud DataWorks, MaxCompute, AWS DataBricks, Hadoop, Hive, Spark and HBase

Qualification wording

Bachelor’s Degree in Computer Science and at least 4+ years of experience in Data Engineering with significant focus on Data Marts

Solid Experience with data processing tools such as Spark and Flink

Solid Experience implementing batch and streaming data pipelines

Experience with Data Analysis platforms like Datawind

Experience in Big Data tools such as Ali Cloud DataWorks, MaxCompute, AWS DataBricks, Hadoop, Hive, Spark and HBase

Education & alternatives

Requirements: - Bachelor’s Degree in Computer Science and at least 4+ years of experience in Data Engineering with significant focus on Data Marts - Solid Experience with data processing tools such as Spark and Flink

Tools in this posting

SQL
AWS
Databricks
Hadoop
Hive
NoSQL
Spark

Source

- Solid Experience implementing batch and streaming data pipelines - In-depth knowledge of both SQL and NoSQL databases, including performance tuning and troubleshooting - Be proficient in SQL, familiar with advanced SQL features such as window functions, aggregate functions and creating scalar functions/user-defined functions

- In-depth knowledge of both SQL and NoSQL databases, including performance tuning and troubleshooting - Be proficient in SQL, familiar with advanced SQL features such as window functions, aggregate functions and creating scalar functions/user-defined functions - Proven successful and trackable experience in full end-to-end data solutions involving data ingestion, data persistence, data extraction and data analysis

- Experience with Data Analysis platforms like Datawind - Experience in Big Data tools such as Ali Cloud DataWorks, MaxCompute, AWS DataBricks, Hadoop, Hive, Spark and HBase Perks & Benefits:

- Bachelor’s Degree in Computer Science and at least 4+ years of experience in Data Engineering with significant focus on Data Marts - Solid Experience with data processing tools such as Spark and Flink - Solid Experience implementing batch and streaming data pipelines

About OKX

At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.

In the employer’s words · Read in context

Posting record

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Open 6 monthsWe first saw this listing 195 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records: Live
First seen by us: Apr 14, 2026 · 195 days ago
Recorded sightings: 261
Last seen by us: Oct 27, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

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Job description

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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:

The OKX Data Engineering 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. 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:

Design, build, and maintain analytics-ready Data Marts using best-practice dimensional modeling (star/snowflake schemas)
Partner with analytics and business teams to understand requirements and deliver trusted, well-documented datasets
Design and build resilient and efficient data pipelines for both batch and real-time streaming data
Architect and design data infrastructure on cloud using industry standard tools
Ensure data integrity and scalability through enforcement of data standards. Improve data validation and monitoring processes to proactively prevent, identify and resolve issues
Define, understand, and test external/internal opportunities to improve our products and services

Requirements:

Bachelor’s Degree in Computer Science and at least 4+ years of experience in Data Engineering with significant focus on Data Marts
Solid Experience with data processing tools such as Spark and Flink
Solid Experience implementing batch and streaming data pipelines
In-depth knowledge of both SQL and NoSQL databases, including performance tuning and troubleshooting
Be proficient in SQL, familiar with advanced SQL features such as window functions, aggregate functions and creating scalar functions/user-defined functions
Proven successful and trackable experience in full end-to-end data solutions involving data ingestion, data persistence, data extraction and data analysis

Preferred Qualifications:

Experience with Data Analysis platforms like Datawind
Experience in Big Data tools such as Ali Cloud DataWorks, MaxCompute, AWS DataBricks, Hadoop, Hive, Spark and HBase

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.

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