Senior Data Engineer, Compliance Data Platform
Hong Kong, Hong Kong SAR; Singapore, Singapore
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingWe are looking for a Senior Data Engineer to work as a core execution partner to our Compliance Projects.
Own end-to-end pipelines from ODS ingestion through CDM to downstream marts
Build proactive data quality checks and alerting into pipelines
Build recurring regulatory reports for global and jurisdiction-specific requirements
Own sub-domains such as TMS, KYC/EDD and CMS data end-to-end
Mentor junior engineers as domain confidence grows
From the employer’s posting
We are looking for a Senior Data Engineer to work as a core execution partner to our Compliance Projects. This is a hands-on technical role with real domain ownership — you will own sub-domains end-to-end, not just execute tickets. Strong performance creates a direct route toward the Compliance domain's technical leadership layer as the team scales.
Own end-to-end pipelines from ODS ingestion through CDM to downstream marts serving TMS, KYC, CMS, and regulatory reporting
Design proactive DQC checks into pipelines
Regulatory reporting: recurring compliance reports for global and jurisdiction-specific requirements
you will own sub-domains end-to-end, not just execute tickets
Mentor junior engineers as your domain confidence grows
What you’ll bring
All qualificationsCore experience
- 4+ years in data engineering with strong production pipeline experience (ETL/ELT, SQL, Python, orchestration)
- Demonstrated ability to own a data domain end-to-end — business logic, quality, and incident handling
- Strong data modelling skills for compliance or financial data (auditability, lineage, immutability)
Preferred experience
- Experience in compliance, AML, KYC, transaction monitoring, or financial crime data domains
- Familiarity with Scila, Unit21, World-Check, or equivalent TMS/CMS platforms
Qualification wording
4+ years in data engineering with strong production pipeline experience (ETL/ELT, SQL, Python, orchestration)
Demonstrated ability to own a data domain end-to-end — business logic, quality, and incident handling
Strong data modelling skills for compliance or financial data (auditability, lineage, immutability)
Experience in compliance, AML, KYC, transaction monitoring, or financial crime data domains
Familiarity with Scila, Unit21, World-Check, or equivalent TMS/CMS platforms
Tools in this posting
- Python
- SQL
Source — Tool mentions in context
Requirements: - 4+ years in data engineering with strong production pipeline experience (ETL/ELT, SQL, Python, orchestration) - Demonstrated ability to own a data domain end-to-end — business logic, quality, and incident handling
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 4 monthsWe first saw this listing 140 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
- Jun 9, 2026 · 140 days ago
- Recorded sightings
- 230
- 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.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Already applied? Track this application
Job description
Who We Are
About the team
About the role
Responsibilities:
-
TMS: transaction monitoring feeds, rule feature engineering, Scila/TME platform data integration, TME/ARS features
-
KYC/CRR/EDD: KYC refresh pipelines, remediation datasets, CRR scoring features, Worldcheck integration
-
CMS: case management data, transaction analysis tooling, bulk search, KYB operation data
-
Regulatory reporting: recurring compliance reports for global and jurisdiction-specific requirements
Requirements:
-
4+ years in data engineering with strong production pipeline experience (ETL/ELT, SQL, Python, orchestration)
-
Demonstrated ability to own a data domain end-to-end — business logic, quality, and incident handling
-
Strong data modelling skills for compliance or financial data (auditability, lineage, immutability)
-
Fast domain learner with evidence — can point to a time they ramped up in an unfamiliar domain quickly, ideally using AI tooling
-
Comfortable working in ambiguity: turns underspecified compliance requirements into scoped engineering tasks
Preferred Qualifications:
-
Experience in compliance, AML, KYC, transaction monitoring, or financial crime data domains
-
Background in crypto, fintech, or regulated financial services
-
Familiarity with Scila, Unit21, World-Check, or equivalent TMS/CMS platforms
-
AI/LLM tooling applied to data engineering in practice — concrete examples preferred
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!
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Hong Kong, Hong Kong SAR; Singapore, Singapore
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
See how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.