Data Engineer – Financial Analytics (FP&A)

📋 Description

• Partner with Head of FP&A to understand reporting needs across budgeting, forecasting
• Translate business questions into data requirements, metric definitions and model designs, and
• Support planning cycles with timely, reconciled data and ad hoc analysis for leadership requests.
• Gather data from multiple sources such as ERP, CRM, billing, payroll/HR systems, bank feeds and
• Build and maintain ELT pipelines into BigQuery, using SQL, scheduled queries and orchestration
• Cleanse, standardize and reconcile data, including chart-of-accounts mapping, currency conversion

🎯 Requirements

• 4-8 years of experience in Data Engineering or Analytics Engineering.
• Minimum 2 years of hands-on experience working with Google BigQuery.
• Strong experience building data pipelines, dimensional data models, and financial reporting
• Experience working with finance, FP&A, or business analytics teams.
• Strong understanding of financial reporting concepts such as P&L, Balance Sheet, Cash Flow
• Expert SQL: complex joins, window functions, CTEs, aggregations, query tuning and BigQuery-specific