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.

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