Data Engineer – Financial Analytics (FP&A)

Role Overview

We are hiring a mid-level Data Engineer to build the financial data foundation behind executive reporting, working directly with the Head of FP&A on Google BigQuery. This role turns scattered financial and operational data into a single, trusted reporting model that leadership uses to run the business.

What You Will Do

You will act as the technical partner to the Head of FP&A, translating planning, forecasting and performance questions into well-designed data models and repeatable metrics. You will own the path from source systems to executive dashboards: gathering data from ERP, CRM, billing, HR and spreadsheet sources, modeling it in BigQuery, and delivering metrics such as revenue, gross margin, operating expense, budget-versus-actual variance and cash position.

Why It Might Be a Fit

The aim is to reduce manual spreadsheet effort in monthly close and planning cycles, and to give leadership faster, consistent answers. You will work directly with senior finance stakeholders, and communicate data logic to finance leaders and document metric definitions precisely.

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 solutions
• Experience working with finance, FP&A, or business analytics teams
• Strong understanding of financial reporting concepts such as P&L, Balance Sheet, Cash Flow, Budget vs Actuals, and Forecast Variance analysis