OKX - Staff Data Engineer, Finance Data Platform
Requirements
• 6+ years in data engineering, with at least 3 years owning a Finance, Accounting, or financial reporting data domain end-to-end • 6+ years • 3 years owning a Finance, Accounting, or financial reporting data domain • Deep understanding of financial data fundamentals: period close and cut-off rules, revenue recognition, multi-entity consolidation, reconciliation, and audit trail requirements • Demonstrated experience building data systems that have been reviewed in a statutory audit or regulatory review • statutory audit • regulatory review • Strong SQL and Python; proven ability to design and maintain complex production pipelines at scale • Experience designing for immutability and lineage — financial data that can be rolled back, re-run, and traced without manual intervention • Track record of operating with significant autonomy: defining requirements from ambiguous stakeholder input, not just executing tickets • Experience at a crypto exchange, fintech, or company that has gone through IPO preparation or public company financial reporting • crypto exchange, fintech, or company that has gone through IPO preparation or public company financial reporting • Familiarity with regulatory reporting requirements across multiple jurisdictions (MAS SG, SEC, FCA, or equivalent) • AI/LLM tooling applied to data engineering workflows in production — concrete examples required; "exploring" does not count • tooling applied to data engineering workflows in production • Experience with Spark, Airflow, or equivalent orchestration at scale • Prior experience as a de facto domain lead or tech lead without formal people management title • Background working with Accounting/Controllership teams as a technical counterpart
Responsibilities
• Domain Architecture & Technical Direction • Own the end-to-end Finance data architecture: from ODS ingestion through CDM transformation to reporting mart, with clear data lineage documented at every layer • Define and enforce data modelling standards for Finance: period cut-off immutability, multi-entity consolidation logic, revenue recognition alignment, and audit trail completeness • Lead the design of scalable pipelines supporting trading data, asset positions, P&L, and cost accounting across multiple legal entities and jurisdictions (SG, EU, US, and others) • Make architectural decisions independently and articulate trade-offs clearly to both engineering peers and non-technical Finance stakeholders • Financial Reporting & Audit Readiness • Partner with Accounting, Finance PMO, and Treasury to deliver datasets for month-end close, statutory reporting, and board-level financials on time and to audit standard • Ensure every financial figure is traceable back to the source system with full transformation history — no black boxes • Build the data foundation that supports OKX's regulatory reporting obligations and long-term financial reporting maturity • Data Quality & Controls • Design proactive, self-validating DQC frameworks — reconciliation logic, SLA monitoring, and anomaly detection built into pipelines, not bolted on after incidents • Own incident response for Finance-critical pipeline failures; conduct structured post-mortems and drive permanent fixes • Define "done" for financial correctness in partnership with Accounting; hold the line on data quality standards even under delivery pressure • AI-Native Finance Data • Lead the team's adoption of AI-assisted engineering: LLM-assisted development, automated anomaly detection, intelligent reconciliation, AI-generated reporting summaries • Evaluate and introduce AI tooling into Finance data workflows with production evidence — not POC demos • Set the bar for what an AI-native Finance data team looks like, and bring junior engineers along • Technical Leadership & Influence • Be the go-to escalation point for Finance data domain questions across the team • Mentor and grow engineers working in the Finance domain; translate domain complexity into learnable patterns • Represent Finance Data in cross-team architecture discussions, sprint planning, and stakeholder reviews • Document domain knowledge that outlasts any individual — data dictionaries, pipeline specs, onboarding guides
Benefits
• 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! • 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. • 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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