Staff Data Engineer, Finance Data Platform
Core
Architecting and delivering the data infrastructure for compliance, regulatory, and financial reporting operations across 100+ markets, ensuring data correctness for statutory reporting and audit readiness.
Role type
Staff Data Engineer (Finance Domain)
Builds
Scalable data pipelines for trading data, asset positions, P&L, and cost accounting; production-grade datasets for month-end close and board-level financials.
Domain
Cryptocurrency exchange / Financial Services / Regulatory Compliance
Deliverable
production ML models | product features | dashboards & analysis
Required skills
End-to-end finance data architecture, multi-entity consolidation logic, revenue recognition alignment, audit trail design, SQL, Python, complex pipeline design, data lineage management, incident response for critical pipelines, AI/LLM tooling integration.
Preferred skills
Crypto exchange or fintech background, IPO/public company financial reporting experience, multi-jurisdictional regulatory reporting knowledge (MAS, SEC, FCA), production AI/LLM tooling in data engineering.
Technologies
SQL, Python, LLMs, AI tooling
Responsibilities
Own end-to-end Finance data architecture from ingestion to reporting mart; Define and enforce data modelling standards for period cut-off and audit trails; Partner with Accounting/Treasury to deliver audit-ready datasets; Design proactive DQC frameworks with built-in reconciliation and anomaly detection; Lead adoption of AI-assisted engineering for development and reporting; Mentor engineers and document domain knowledge.
Seniority
Staff, technical anchor & domain lead