Senior Data Engineer

Context

A leading global cosmetics company is seeking a Senior Data Engineer with strong expertise in data engineering, including experience as a technical lead. The role is based at 2-4 avenue de la liberté and is available for immediate start. The position can be freelance or through Valor Connect.

Missions

• Lead data engineering initiatives with strong technical expertise.
• Write complex BigQuery queries using CTEs, window functions, and analytical functions.
• Optimize query performance and cost through partitioning, clustering, and caching.
• Tune and optimize large-scale queries using execution plans.
• Build robust data models using star and snowflake schemas, designed for PowerBI or Looker.
• Develop scalable, secure data pipelines to integrate and expose data within the group data platform.
• Implement data integration using various patterns: API, database, cloud-to-cloud, file transfer, etc.
• Work with BI tools such as PowerBI and Looker.
• Build and integrate AI components within data pipelines.
• Manage infrastructure as a service and CI/CD processes.

Tools & Environment

• Certification: GCP Professional Data Engineer
• Technologies: BigQuery, Cloud Workflows, Cloud Build, Apigee, SQL, Python, Terraform, GitHub
• BI Tools: PowerBI, Looker
• Infrastructure as a service, CI/CD pipelines

Bonus

• Expertise with media and digital data, including Google Analytics, Salesforce, CRM, and social media.

Working Conditions

• Location: 2-4 avenue de la liberté
• Start date: ASAP
• Contract type: Freelance or Valor Connect
• Response deadline: 04/05/2026
• Maximum daily rate: [not specified]

Please include your date and place of birth in your application.

Requirements

• Certification: GCP Professional Data Engineer
• Strong expertise in Data Engineering including expertise as lead
• Experience writing complex BigQuery queries with CTEs, window functions, and analytical functions
• Ability to optimize for performance and cost using partitioning, clustering and caching mechanisms
• Experience optimizing large-scale queries using execution plans and tuning
• Building robust data models using star and snowflake schemas, modeling for PowerBI or Looker
• Building robust, scalable and secure data pipelines integrating data via API, database, cloud to cloud, file transfer, etc.
• Expertise with various BI Tools: PowerBI, Looker
• Expertise building and integrating AI in data pipelines
• Experience with Infrastructure as a Service and CI/CD
• Proficiency in technologies: BigQuery, Cloud workflows, Cloud Build, Apigee, SQL, Python, Terraform, GitHub