Finance Data Engineer

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

About Voodoo

Voodoo is a consumer tech company founded in Paris in 2013, with one mission: entertain the world. Today we are 1,000 people, generating $1b+ in annual revenue, profitably. Our games and apps have passed 7 billion downloads and reach 200 million+ active users every month, making Voodoo the #3 mobile publisher worldwide in downloads, after Google and Meta. We were backed by Goldman Sachs, Tencent and GBL along the way.

Team

Our Corporate teams support the company’s performance and growth whilst putting people at the core of everything they do. As a French tech leader and global successful company, our Corporate teams are constantly looking for ways to innovate and increase organisation efficiency to keep Voodoo ahead of the market. Voodoo’s Corporate function is composed of three teams: HR, Legal and Finance, working together to drive Voodoo’s success.

As Voodoo continues to grow, we are transforming the way Finance uses data and technology. Our ambition is to move from fragmented, spreadsheet-heavy workflows to a modern, reliable, and increasingly automated Finance data platform.

Role

We’re looking for a Finance Data Engineer to join our Corporate team. In this role, you’ll own the technical transformation of Finance by building the data foundations, pipelines, and internal tools that enable Finance teams to operate more efficiently and make better decisions.

Reporting to the CFO, you will work closely with Finance stakeholders and Voodoo’s central Data team, combining data engineering, business understanding, and product thinking to turn complex Finance needs into reliable and maintainable solutions.

• Define and drive the roadmap for Finance data, automation, and internal tooling
• Build and progressively scale Voodoo’s Finance data platform, prioritising the use cases that create the greatest business value
• Migrate critical data transformations and workflows from spreadsheets and legacy tools to tested, documented, code-based solutions
• Create reliable data models and pipelines for Finance reporting, analysis, forecasting, and operational processes
• Establish strong standards for data quality, observability, documentation, security, and access management
• Partner closely with Accounting, FP&A, Controlling, Treasury, and other Finance stakeholders to translate their needs into scalable technical solutions
• Collaborate regularly with Voodoo’s Data leadership and engineering teams to align on architecture, tooling, and best practices
• Build intuitive dashboards and internal applications that allow Finance teams to explore data and manage workflows independently
• Identify AI and automation opportunities, take them from prototype to production, and measure the value they create
• Help Finance teams adopt data and AI tools effectively through documentation, training, and day-to-day support

Profile

• Significant experience in data engineering, analytics engineering, or a closely related role, including ownership of production-grade data solutions
• Proven track record of building or substantially improving a modern data platform or analytics stack
• Highly proficient in SQL and comfortable building production systems in Python
• Strong software-engineering practices applied to data work: testing, version control, code review, documentation, and monitoring
• Solid understanding of core corporate Finance and accounting concepts; familiarity with French accounting principles is a strong advantage
• Ability to translate ambiguous business needs into clear, pragmatic technical solutions
• Comfortable working autonomously, prioritising competing needs, and delivering value incrementally
• Strong communication skills with both technical and non-technical stakeholders, in French and English
• Curious about the evolving data and AI ecosystem — you test new approaches on real problems and form your own point of view
• Rigorous, detail-oriented, and focused on measurable outcomes; pragmatic in technology choices, knowing when to build, adopt open-source, or buy commercial solutions

Nice to have:

• Experience building tools or data products for Finance teams
• Experience deploying AI agents or AI-enabled workflows into production
• Familiarity with the mobile gaming, consumer apps, advertising, or digital analytics ecosystem
• Experience operating data infrastructure on AWS

Our Stack

• Cloud: AWS
• Languages: Python, SQL, Scala
• Transformation & orchestration: dbt, Airflow, Spark
• Query engines: Athena, StarRocks
• Infrastructure: Terraform, Kubernetes
• Internal applications: Streamlit
• AI-assisted development: Claude Code, MCP-based internal tooling

Benefits

• Competitive salary based on experience
• Swile Lunch voucher
• Gymlib (100% covered by Voodoo)
• Premium healthcare coverage with SideCare, 100% covered for you and your family
• Wellness activities in our Paris office
• Remote Fridays