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# AI-Augmented Data Engineer F/M

- **Company:** Betclic
- **Location:** Bordeaux, France (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Data Analysis, Cloud Computing, Cloud Engineering, Continuous Integration, Information Engineering, Data Systems, Github, Integrated Development Environments, Standard Sql, Cloud Platform System, Snowflake, Real Time Data, Data Pipelines
- **Published:** July 10, 2026
- **Apply:** https://fr.indeed.com/viewjob?jk=1f7e4099fe6fc36d

## About the Role

We are looking for passionate and curious professionals who bring kindness and a touch of enthusiasm !
This job is for you if:

 * You have at least 4 years of solid experience in a demanding data, analytics, BI engineering, or software engineering environment with a strong data focus.
 * You have strong experience with modern Data Engineering or Analytics Engineering practices.
 * You are technically curious, creative, and constantly learning.
 * You are demanding when it comes to quality, performance, scalability, and maintainability.
 * You are able to transform unclear business needs into clear and reliable data solutions.
 * You are comfortable working in autonomous squads and cloud environments.
 * You enjoy automation, knowledge sharing, and continuous improvement.
 * You understand the value of product-oriented data engineering.
 * You are excited by AI-augmented ways of working and already use AI tools to improve your productivity and delivery quality.
 * You are motivated by building data products that are used every day and create measurable business impact.
 * And finally, you speak English fluently

## Description

* Design, build, and maintain robust data pipelines.
 * Model data for analytics, BI, AI, and self-service use cases.
 * Build Bronze, Silver, Gold, Semantic Layer, and Exposition Layer data models.
 * Transform complex business problems into simple, durable, and scalable data products.
 * Contribute to the increasing challenges of reactivity, freshness, and near real-time data needs.
 * Implement a complete Tech Flow based on an "as-code everywhere" approach, covering the full delivery lifecycle: design, build, testing, integration, deployment, documentation, and monitoring.
 * Improve the quality, performance, governance, and observability of our data pipelines., You will work in a modern, cloud-native, production-grade data environment including:
 * Snowflake
 * dbt
 * Airflow
 * GitHub Actions
 * SQL
 * Omni
 * Full Cloud
 * CI/CD


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