Finance Data Engineer

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