Data Engineer GCP

Project overview

We are looking for an experienced Data Engineer GCP / BigQuery / dbt to join one of our clients based in Lille, a major specialized retail player, as part of a project to transform, modernize, and industrialize its Data platform on Google Cloud Platform (GCP).

You will be involved in the design, development, and optimization of data pipelines, with the aim of making processing reliable, improving the performance of Data flows, and supporting the industrialization of solutions in a Cloud environment.

The mission is part of a context of accelerating data valorization, modernizing Data Engineering practices, and preparing for new uses related to artificial intelligence and generative AI.

Your main missions will be:

Required skills:

Profile sought:

We are looking for an experienced GCP Data Engineer with solid experience in developing, transforming, and industrializing Data solutions on Cloud environments.

You have mastered Google Cloud Platform, particularly BigQuery, as well as dbt, and are capable of working autonomously throughout the entire lifecycle of Data solutions, from design to production deployment.

You have a good understanding of modern Data architectures, data modeling and transformation issues, as well as quality, performance, and cost optimization challenges.

You are capable of designing robust pipelines, ensuring the reliability of processing, and contributing to the continuous improvement of development and industrialization practices.

You are accustomed to working in demanding Data environments, collaborating with Product Owners, architects, technical teams, and business stakeholders.

Experience in the retail sector and knowledge of issues related to artificial intelligence would be particularly appreciated.

Autonomous, rigorous, and proactive, you have excellent interpersonal skills and know how to work in a team in an agile environment. Your ability to understand business needs and propose suitable technical solutions will be essential to the success of the mission.

• Design, develop, and maintain data pipelines and data feeding flows on Google Cloud Platform (GCP).
• Perform data transformations and modeling using BigQuery and dbt.
• Participate in the design and industrialization of Data architectures and processing.
• Develop, test, and industrialize high-performance and scalable Data solutions.
• Contribute to scoping workshops and business needs analysis.
• Write technical specifications, documentation, and design documents for implemented solutions.
• Ensure the quality, reliability, and performance of developed processing.
• Perform unit tests, participate in acceptance testing phases, and support production deployments.
• Optimize processing performance and operational costs with a FinOps approach.
• Participate in code reviews and continuous improvement of development practices.
• Implement best practices for industrialization, versioning, and continuous integration.
• Collaborate with Product Owners, architects, technical teams, and business stakeholders.
• Contribute to knowledge sharing and support team upskilling.
• Participate in the continuous improvement of the Data platform and its preparation for new uses related to artificial intelligence.
• Confirmed mastery of Google Cloud Platform (GCP).
• Significant experience with BigQuery for data processing, exploitation, and optimization.
• Confirmed mastery of dbt for data transformation and modeling.
• Excellent mastery of SQL language.
• Experience in the design, development, and industrialization of data pipelines.
• Good knowledge of GCP services, particularly Cloud Storage and Cloud Composer.
• Experience with data flow orchestration tools such as Apache Airflow.
• Good mastery of Python for the development and automation of Data processing.
• Knowledge of version control and continuous integration tools such as Git and CI/CD.
• Experience in production deployment, testing, and optimization of Data processing.
• Good understanding of Cloud Data architectures and performance and reliability challenges.
• Knowledge of FinOps approaches and Cloud cost optimization.
• Experience with Stambia or Semarchy xDI is an asset.
• Knowledge of reporting and visualization tools such as Looker, Looker Studio, or Power BI would be appreciated.
• Awareness of artificial intelligence and generative AI uses is a plus.
• Fluent French and professional English are essential.

Project details

Lille

Schedule: 3 days per week on-site

09/11/2026

Until 04/30/2027 (121 days planned)

• Start: 2026-11-16
• Duration: 6 mois
• Location: 59350 Lille, FR
• Languages: French