Staff Data Engineer Finance Data Platform

You will serve as the technical anchor for Finance Data by defining architecture, validation, lineage, and delivery standards. You will build scalable financial data pipelines, support reporting and audits, design data quality controls, lead AI-assisted engineering adoption, resolve incidents, mentor engineers, and represent Finance Data in architecture and stakeholder discussions.

Responsibilities

  • Own end-to-end Finance data architecture
  • Define and enforce Finance data modeling standards
  • Lead scalable pipelines for trading data, asset positions, P&L, and cost accounting
  • Make and communicate architectural decisions
  • Deliver datasets for financial reporting and audits
  • Ensure financial figures are traceable to source systems
  • Build regulatory reporting data foundations
  • Design data quality and reconciliation frameworks
  • Own incident response and post-mortems
  • Lead AI-assisted engineering adoption
  • Mentor Finance domain engineers
  • Represent Finance Data in architecture and stakeholder discussions
  • Document domain knowledge

Requirements

  • 6+ years in data engineering
  • 3+ years owning a Finance, Accounting, or financial reporting data domain
  • Financial data fundamentals
  • Period close and cut-off rules
  • Revenue recognition
  • Multi-entity consolidation
  • Reconciliation
  • Audit trail requirements
  • Statutory audit or regulatory review experience
  • SQL
  • Python
  • Production pipelines
  • Immutability
  • Data lineage
  • Autonomous requirements definition

Benefits

  • L&D programs
  • Education subsidy
  • Team building programs
  • Company events
  • Wellness allowances
  • Meal allowances
  • Comprehensive healthcare schemes for employees and dependants

See also

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