Finance Data Engineer

Voodoo; Paris; Sur place; EUR 90 000 - 130 000; Plein temps

Avantages offerts par ce poste

Lunch voucher

Gym coverage 100%

Premium healthcare coverage for you &

Wellness activities in Paris office

Remote Fridays

Résumé du poste

Voodoo is seeking a Finance Data Engineer to transform Finance data and tooling. You will own pipelines, data models, and internal tools, enabling Finance to forecast and report with higher efficiency.

You will collaborate with Accounting, FP&A, and Data teams to deliver scalable, auditable data solutions and dashboards across the corporate data stack in Paris.

Qualifications

• Significant experience in data engineering or analytics engineering.
• Proven track record building or substantially improving a modern data platform.
• High proficiency in SQL and building production Python systems.
• Strong software engineering practices: testing, version control, code review, documentation, monitoring.
• Solid understanding of corporate Finance concepts; familiarity with French accounting is a plus.
• Ability to translate ambiguous business needs into clear, pragmatic technical solutions.
• Autonomous, able to prioritise and deliver value incrementally.
• Fluent communication in French and English.
• Curious about evolving data/AI ecosystem and testing new approaches.

Responsabilités

• Define and drive the roadmap for Finance data, automation, and internal tooling.
• Build and scale the Finance data platform, prioritising high-value use cases.
• Migrate critical data transformations from spreadsheets to code-based workflows.
• Create reliable data models and pipelines for Finance reporting, analysis, forecasting, and operations.
• Establish data quality, observability, documentation, security, and access controls.
• Collaborate with Accounting, FP&A, Controlling, Treasury to translate needs into scalable solutions.
• Partner with Data leadership and engineering teams on architecture and tooling.
• Build dashboards and internal apps for Finance data exploration and workflow management.
• Identify AI opportunities, move prototypes to production, measure value.
• Support Finance teams in adopting data and AI tools with documentation and training.

Connaissances

Data engineering

Analytics engineering

SQL

Python

Software engineering practices

Data modeling

Data quality

Observability

Documentation

Finance concepts

Outils

dbt

Airflow

Spark

Athena

StarRocks

Terraform

Kubernetes

Streamlit

Claude Code

MCP tooling

Description du poste

About VoodooVoodoo 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 the company the #3 mobile publisher worldwide in downloads, after Google and Meta. We were backed by Goldman Sachs, Tencent and GBL along the way.

TeamOur 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 the company ahead of the market. the company's Corporate function is composed of three teams: HR, Legal and Finance, working together to drive the company's success.

As the company 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.

RoleWe'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 the company'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 the company'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 the company'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 the company)
• Premium healthcare coverage with SideCare, 100% covered for you and your family
• Wellness activities in our Paris office
• Remote Fridays