Finance Data Engineer: Build Modern Finance Data Platform

Voodoo; Paris; Hybride; EUR 90 000 - 120 000; Plein temps

Avantages offerts par ce poste

Lunch voucher

Gymlib

Premium healthcare

Wellness activities

Remote Fridays

Résumé du poste

Voodoo is hiring a Finance Data Engineer in Paris to own the transformation of Finance data and internal tooling. You will build data foundations, pipelines, and applications to empower Finance teams to make better decisions.

You will work with the CFO, the central Data team, and Finance stakeholders to turn complex needs into reliable, maintainable solutions. Expect collaboration across data leadership and engineering groups.

Qualifications

• Significant experience in data engineering or analytics engineering with ownership of production-grade data solutions.
• Proven track record building or improving a modern data platform or analytics stack.
• Strong SQL and production Python skills; familiarity with finance concepts helpful.

Responsabilités

• Define and drive the roadmap for Finance data, automation, and internal tooling.
• Build and scale the Finance data platform with high-value use cases.
• Migrate transformations from spreadsheets to code-based solutions.
• Create data models and pipelines for Finance reporting, forecasting, and operations.
• Collaborate with Accounting, FP&A, and Controlling to translate needs into scalable solutions.
• Develop dashboards and internal apps for Finance data exploration and workflow management.

Connaissances

SQL

Python

Data engineering

Analytics engineering

Communication

Bilingual

Outils

dbt

Airflow

Spark

AWS

Terraform

Kubernetes

Streamlit

Athena

StarRocks

Description du poste

Voodoo is hiring a Finance Data Engineer in Paris to own the transformation of Finance data and internal tooling. You will build data foundations, pipelines, and applications to empower Finance teams to make better decisions.

You will work with the CFO, the central Data team, and Finance stakeholders to turn complex needs into reliable, maintainable solutions. Expect collaboration across data leadership and engineering groups.