Senior Data Engineer — Scale Big Data Pipelines & Infra

Voodoo; Paris; Hybride; EUR 70 000 - 110 000; Plein temps

Avantages offerts par ce poste

Gymlib (100% borne by Voodoo)

Premium healthcare coverage SideCare

Résumé du poste

Voodoo, the Paris-based mobile gaming company, is expanding BeReal's data capabilities with a dedicated data engineering role. You will design and operate scalable data pipelines, collaborate across back-end, data science, and product teams, and help shape data-driven decisions at scale.

You will work in a fast-paced environment, push production code, and ensure secure, reliable data architectures while exploring ML concepts to enhance analytics and growth strategies.

Qualifications

• Extensive experience as a Data Engineer or similar role.
• A proven track record of building and optimising data pipelines for massive data at scale.
• Strong experience in scalability, reliability, and security topics.
• Strong analytical skills and ability to work with unstructured datasets.
• Curious about business needs and keen to create innovative, agile data solutions.
• Understanding of ML concepts is a plus.

Responsabilités

• Construct and manage robust data pipelines to align with evolving business needs, ensuring optimal architecture support.
• Contribute to the codebase, push and maintain changes in production, and be an evangelist of good coding and data engineering practices.
• Take ownership of projects from initial discussions to release, including feature estimation & scoping, architecture design, benchmarking of new technologies, product feedback.
• Work in a very agile environment with a fast decision process.
• Collaborate directly with people working on back-end development, data science, mobile games, broad audience mobile apps, product & marketing.

Connaissances

Data engineering

Data pipelines

Analytics

Security

Outils

GCP

BigQuery

DBT

Airflow

Terraform

Spanner

Description du poste

Voodoo, the Paris-based mobile gaming company, is expanding BeReal's data capabilities with a dedicated data engineering role. You will design and operate scalable data pipelines, collaborate across back-end, data science, and product teams, and help shape data-driven decisions at scale.

You will work in a fast-paced environment, push production code, and ensure secure, reliable data architectures while exploring ML concepts to enhance analytics and growth strategies.