Lead development for a spend-management product, shaping product, team, or technology strategy and building scalable backend and frontend systems for financial workflows.
About this role
This data engineer sits in freee’s Engineering Data organization, supporting integrated cloud products for accounting, HR and labor, and sales management. The role works with product and BPaaS operations to turn business data into reusable company-wide assets.
The work covers KPI and operational measurement needs, feasibility checks with real data, and delivery through adoption. The engineer designs and operates data pipelines, models, semantic layers, dashboards, and serving systems using dbt and Google Cloud with existing IaC modules. Testing, data quality, monitoring, documentation, Reverse ETL, and API-based serving are included.
Applicants must have stakeholder-facing experience defining data-use problems, converting uncertain work into roadmaps and projects, and improving processes or architecture from individual initiatives. Required technical experience includes three or more years with Python or Go, practical SQL, data warehouses or analytics environments, pipelines, dimensional or star-schema modeling, dbt or Dataform, and IaC-based infrastructure changes.
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