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Voodoo is seeking a Senior Data Engineer to join the Engineering & Data team in a hybrid role based in Paris. You will build and operate robust data pipelines, contribute to production code, and champion strong data engineering practices.
Expect to work with AI assistants and agent-driven tooling to improve pipelines, migrations, tests and documentation. You will collaborate with backend, data science, mobile game and consumer app teams, with 3 days per week in the Paris office and a focus on
Abroad
Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz.
The Engineering & Data team builds innovative tech products and platforms to support the impressive growth of Voodoo's gaming and consumer apps, keeping us at the forefront of the mobile industry. The team plays a key role in Voodoo's long-term strategy: it accelerates product diversification and provides a state-of-the-art growth engine to distribute and scale our games. We create solutions that drive growth with a pragmatic approach, ranging from simple search to complex machine learning systems. Within Engineering & Data, the Central Data & Analytics team makes data a reliable guide for the whole company. Data engineers, analytics engineers, data analysts and a product data PM work side by side to build and grow the foundations behind every critical business and product decision at Voodoo.
This position is hybrid and requires 3 days/week in our Paris office.
We’re looking for a Senior Data Engineer to join our Engineering & Data team. In this role, you’ll be responsible for a wide array of topics such as:
Extensive experience as a Data Engineer or in a similar role. A proven track record of building and optimizing data pipelines for massive volumes of data (at scale). Strong experience with scalability, reliability, and security topics. Hands‑on experience coding with AI assistants and agentic tools — you know how to give them the right context, break work down for them, and review their output critically rather than trusting it blindly.
Amazon Web Services; Python; Spark; Scala; Terraform; SQL (Athena, StarRocks); DBT;; Airflow; Kubernetes; AI-assisted development tooling (Claude Code, MCP-based internal tools)
Full Time