Senior Finance Systems Engineer – Kazakhstan

We are looking for a Finance Systems Engineer to support the integrity and accuracy of financial data across multiple systems within the Sales-to-Cash cycle.


This role is primarily focused on ride-hailing revenue (payment provider reconciliation) — the company’s core revenue stream — ensuring accurate and complete data flow from source systems to financial records and cash collection.

In addition, depending on capacity, the role will support other revenue streams and finance processes, contributing to data validation, system integrations, and process improvements across the broader Sales-to-Cash landscape.

• The role is centered around identifying, analyzing, and resolving data discrepancies between internal systems (data warehouse, ERP, BI tools), external payment providers, and actual cash received in bank accounts
• You will perform end-to-end analysis of the Sales-to-Cash process, including validation of driver trip data (as the source of revenue), comparison with payment provider settlement files (including commissions and deductions), and alignment with financial postings and bank transactions. This includes validating data against contractual terms and expected reconciliation logic.
• A key part of the role is conducting root cause analysis to determine where and why discrepancies occur — whether due to missing or inconsistent data, integration gaps, or provider-side issues — and ensuring timely resolution in collaboration with finance and FinTech teams.
• You will actively work with large datasets, build and optimize queries, and perform structured data audits to ensure completeness, consistency, and accuracy across systems. In parallel, you will support finance stakeholders by explaining discrepancies, improving transparency of data flows, and helping ensure correct usage of reports and tools.
• In addition, where capacity allows, the role may support similar data validation and reconciliation activities across other revenue streams and contribute to improvements in data processes or system integrations.
  
  
  

• Strong SQL and data analysis skills, including experience working with large datasets and writing optimized queries (joins, subqueries, CTEs)
• Solid understanding of relational databases and data structures, with the ability to reconcile data across multiple systems
• Basic but clear understanding of accounting principles, including financial statements (P&L, balance sheet), debit/credit logic, and reconciliation processes
  Strong analytical thinking, attention to detail, and problem-solving skills, with the ability to structure and interpret complex data
• Ability to communicate findings clearly to both technical and business stakeholders
• English (B2 or higher) and Russian language proficiency

• Stable salary, official employment
• Health insurance
• Hybrid work mode and flexible schedule
• Relocation package offered for candidates from other regions
• Access to professional counseling services including psychological, financial, and legal support
• Discount club membership
• Diverse internal training programs
• Partially or fully paid additional training courses
• All necessary work equipment