Data Engineering DirectorStraight from OKX’s careers page. Apply on the company site — no recruiter, no middleman.
Data Engineering Director
Location: APAC
Department: Engineering
OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKXs sponsorship of a visa.
Who We Are:
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individuals 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 Team owns and powers the company’s enterprise-wide data ecosystem. We are responsible for the full data lifecycle — from technology selection and architecture design to data ingestion, storage, ETL development, visualization, business intelligence, and advanced data science.
Our team drives end-to-end data ownership across OKX, ensuring that data is reliable, scalable, and actionable. We build the foundational data infrastructure that empowers evidence-based decision-making and continuously enhances the quality of our products and services.
As a Data Engineering Director, you will lead a high-impact team in designing and scaling mission-critical data platforms that serve the entire organization. You will also play a key role in driving the adoption of Agentic AI to elevate how we build, operate, and evolve our Data Engineering capabilities.
Responsibilities:
- Lead and mentor a team of Data Engineers to design and build resilient, scalable, and high-performance data pipelines for both batch and real-time streaming workloads
- Championing Agentic AI adoption across workflows (text-to-SQL agents, automated data quality remediation, self-healing pipelines etc.)
- Defining best practices, guardrails, and evaluation frameworks for safely deploying AI agents in the data lifecycle
- Architect and implement robust Data Warehouse and Data Mart solutions, including data modeling and ETL pipeline development
- Design, build, and maintain analytics-ready Data Marts using best-practice dimensional modeling techniques (star and snowflake schemas)
- Define and implement cloud-based data infrastructure using industry-standard technologies and modern architectural principles
- Drive technical excellence and delivery across mission-critical projects in a fast-paced, high-growth environment
- Partner closely with cross-functional teams to translate business requirements into scalable data solutions
Requirements:
- At least 8 of more years of experience in a Data Engineering, Data Warehousing or Data Mart related field
- Practical experience in building offline and real-time Data Warehouses
- Familiarity with Data Warehouse Modelling theory and experience in Data Warehouse Model Design, plus an in-depth understanding of Data Warehouse systems, and experience supporting real-world business scenarios
- Familiarity with Agentic AI frameworks (LangChain, LlamaIndex, AutoGen, etc.) and productionising them in a data context
- Experience building AI-powered data tools — NL query interfaces, automated anomaly remediation agents, intelligent data observability
- Hands-on experience applying Agentic AI to data engineering (text-to-SQL, LLM-powered remediation, self-healing pipelines, automated metadata/lineage management and more)
Good to have:
- Familiarity with various big data architectures, especially Alicloud DataWorks/MaxCompute, AWS Spark, Databricks, and StarRocks/Doris
- Experience in R&D of real-time big data systems and real-time data warehouses
- Experience in building Data Platforms such as User Profiling, Risk Control Systems, and Indicator Systems
- Prior experience managing a team of Software Engineers/Data Engineers
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 process1
Disclaimer: Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong.
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 OKXs Candidate Privacy Notice.
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 OKXs Candidate Privacy Notice.
Similar remote jobs
More like this →
GDIT
Deputy Technical Program Manager, Data Modernization
Remote
✓ From careers page· about 4 hours ago
Discover More than 100,000 Hidden Remote Jobs Before Everyone Else
Unlock All Remote Jobs Today
Simple pricing. Big savings on Quarterly and Yearly.
Monthly Access
$19/month
- Instant access to fresh remote jobs from 500+ companies
- New opportunities added hourly, often 3-7 days before anywhere else
- Advanced filtering by role type, stack, pay, and location
- Priority customer support
Most Popular
Yearly Access
$59/year
- Everything in Monthly
- Save $169 (~74%) vs paying monthly
- Average job search takes ~6 months - get covered for the whole journey
- Less than the cost of one lunch per month for competitive advantage
- Equivalent to just ~$4.92/month