Senior Data Engineer - Scale Data Pipelines for Global Apps

BeReal.; Paris; Sur place; EUR 90 000 - 120 000; Plein temps

Avantages offerts par ce poste

Salary commensurate with experience

Swile Lunch voucher

Gymlib facility

Premium healthcare coverage for family

Résumé du poste

Voodoo is recruiting a Data Engineer to build and optimize data pipelines that power massive-scale games and apps. You will work with GCP, BigQuery, and DBT within a fast-moving team, contributing to reliable data infrastructure and analytics across BeReal and related products.

The role requires a strong background in data engineering, analytics, and cross-functional collaboration, with an emphasis on scalability, security, and performance in a dynamic environment.

Qualifications

• Extensive experience as a Data Engineer or similar role.
• Proven track record building and optimizing data pipelines at scale.
• Strong focus on scalability, reliability and security.
• Ability to work with unstructured datasets and derive insights.
• Excellent communication skills.

Responsabilités

• Construct and manage robust data pipelines to align with evolving business needs and scalable architecture.
• Contribute to codebase, push changes to production, and promote good data engineering practices.
• Take ownership of projects from discussions to release, including scoping and design.
• Work in an agile environment with fast decision processes.
• Collaborate with backend, data science, and product teams to support BeReal and related apps.

Connaissances

Data engineering

Data pipelines

Analytical thinking

Communication skills

Understanding ML concepts (plus)

Outils

GCP

BigQuery

DBT

Compose / Airflow

Terraform

Amplitude

Spanner

Description du poste

Voodoo is recruiting a Data Engineer to build and optimize data pipelines that power massive-scale games and apps. You will work with GCP, BigQuery, and DBT within a fast-moving team, contributing to reliable data infrastructure and analytics across BeReal and related products.

The role requires a strong background in data engineering, analytics, and cross-functional collaboration, with an emphasis on scalability, security, and performance in a dynamic environment.