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Important information
Contract type:
Freelance
Daily rate:
Salary according to profile
Location:
93400 Saint-Ouen-sur-Seine, France
Starting date:
Urgent
Work mode:
Onsite
Published on:
7 May 2026
What they need
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.
Profile wanted
- 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
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