Required skills
Languages: French
Job description
Data Engineer needed for a hybrid role in Marseille, focusing on data transformation and CI/CD practices. The position involves developing data processing, using tools like dbt, Snowflake, Airflow, Jenkins, and XL Deploy.
Project overview
💻 Data Engineer - CI/CD
📍 Location: Marseille (13) - hybrid position
💼 Contract: Permanent, Freelance, or payroll management, depending on your preference
Project details
- Start: flexible
- Remote: hybrid
- Location: Marseille, France, FR
- Rate: 50-69 EUR/h
- Languages: French
💰 Compensation: 45k
🗓️ Start Date: December 2026 - January 2027
🎯 Context:
Within a Data team, you will be involved in data development and transformation activities, with a complementary role around CI/CD practices and deployment of developments.
You will contribute to the use of deployment chain tools and support the team's developers in their implementation, in line with the needs of Data projects.
🔧 Missions & Scope of Intervention:
Data Development & Transformation:
Continuous Integration & Deployment:
Technical Support & Team Coaching:
- 55k€ gross annual fixed or 450€
- 550€ daily rate for freelancers, depending on experience and skills
- Participate in the development and evolution of data processing within the team.
- Use dbt to write SQL queries, transform data, and contribute to the structuring of data models.
- Work in an environment relying notably on Snowflake and Airflow for data processing and orchestration activities.
- Use and contribute to the operation of CI/CD pipelines applied to Data developments.
- Work on Jenkins and XL Deploy tools, as well as Camunda depending on the technical scope, or alternatively GitLab CI.
- Participate in the implementation and monitoring of development integration and deployment processes.
- Contribute to the reliability of deployment practices and the resolution of difficulties encountered by the teams.
- Coach developers in the use of CI/CD tools and associated processes.
- Help identify and resolve problems encountered during the integration or deployment of developments.
- Facilitate collaboration between Data development activities and production deployment practices.
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