Data Engineering DBT / SQL Sénior DF Finance & Corporate

• Data transformation and orchestration with DBT
• Work on Data and Cloud environments (GCP)
• Exploit BigQuery and advanced SQL on large data volumes
• Manipulate and analyze data with SQL
• Use DBT to structure data pipelines
• Manage real-time streams with Pub/Sub
• Automate data workflows via GitLab CI/CD and Docker Compose
• Work under Linux and command line
• Version code with Git
• Collaborate in agile environment (Scrum)
• Work with PostgreSQL including pgloader, partitioning, and analytical SQL
• Write Shell Bash scripts on Linux CentOS-7
• Communicate clearly in French
• Analyze situations and propose solutions
• Meet deadlines with high quality
• Collaborate with team members
• Continuous improvement

• Bac+5 (engineering school or university) in computer science or equivalent experience
• Over 7 years of experience in Data Engineering
• Experience in the retail / mass distribution sector (advantageous)
• Proficiency in DBT for data transformation and orchestration
• Experience with Data and Cloud environments, especially GCP
• Proficiency in BigQuery and advanced SQL on large volumes of data
• SQL data manipulation and analysis
• Use DBT to structure data pipelines
• Manage real-time streams with Pub/Sub
• Automate data workflows via GitLab CI/CD and Docker Compose
• Work under Linux and command line
• Version code with Git
• Collaborate in agile environment (Scrum)
• PostgreSQL including pgloader, partitioning, and analytical SQL
• Shell Bash scripts on Linux CentOS-7 (migration to Rocky Linux planned)
• Good command of Linux environments and Vim editor
• Communicate clearly and effectively in French (written and oral)
• Analyze situations and propose suitable solutions
• Meet deadlines with high quality standards
• Collaborate actively with team members
• Continuous improvement mindset

Experience in the retail / mass distribution sector