Data Engineering Director
Reads like a Data Leadership role: running a data team.
APAC
- 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 Hong Kong, and do not require OKX's sponsorship of a visa.
Read the full posting
What you’ll work on
Full postingLead and mentor a team of Data Engineers on batch and real-time data pipelines
Champion Agentic AI adoption in data workflows, such as text-to-SQL and self-healing pipelines
Define best practices and guardrails for safely deploying AI agents in the data lifecycle
Architect and build data warehouse and data mart solutions, including ETL pipelines
Translate business requirements into scalable data solutions with cross-functional teams
From the employer’s posting
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
Partner closely with cross-functional teams to translate business requirements into scalable data solutions
What you’ll bring
All qualificationsCore experience
- Practical experience in building offline and real-time Data Warehouses
- Familiarity with various big data architectures, especially Alicloud DataWorks/MaxCompute, AWS Spark, Databricks, and StarRocks/Doris
- 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
- Experience in R&D of real-time big data systems and real-time data warehouses
- Familiarity with Agentic AI frameworks (LangChain, LlamaIndex, AutoGen, etc.) and productionising them in a data context
- Experience in building Data Platforms such as User Profiling, Risk Control Systems, and Indicator Systems
Qualification wording
Practical experience in building offline and real-time Data Warehouses
Familiarity with various big data architectures, especially Alicloud DataWorks/MaxCompute, AWS Spark, Databricks, and StarRocks/Doris
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
Experience in R&D of real-time big data systems and real-time data warehouses
Familiarity with Agentic AI frameworks (LangChain, LlamaIndex, AutoGen, etc.) and productionising them in a data context
Experience in building Data Platforms such as User Profiling, Risk Control Systems, and Indicator Systems
Tools in this posting
- SQL
- AWS
- Databricks
Source — Tool mentions in context
- 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
- 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:
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
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
Report an errorOpen 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
- 369
- 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
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 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:
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Competitive total compensation package
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L&D programs and Education subsidy for employees' growth and development
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Various team building programs and company events
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Wellness and meal allowances
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Comprehensive healthcare schemes for employees and dependants
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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.
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APAC
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- Work authorization
OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa. Who We Are:
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