AI-Enhanced Data Engineer for Scalable Data Products

Jobtailor; Bordeaux; Sur place; EUR 52 000 - 80 000; Plein temps

Résumé du poste

Jobtailor in France (Bordeaux) seeks a data engineer to design, build, and maintain data pipelines across the analytics stack. You will model data for BI, AI, and self-service use, and contribute to Bronze to Exposition layer models.

You will work in autonomous squads in a cloud environment, driving automation, quality, and observability. Fluent English required; this role focuses on scalable data products and AI-assisted workflows.

Qualifications

• At least 4 years in data/analytics/BI engineering or software with a strong data focus.
• Strong experience with modern Data/Analytics Engineering practices.
• Technically curious, creative, and eager to learn.
• Commitment to quality, performance, scalability, and maintainability.
• Ability to translate unclear business needs into reliable data solutions.
• Experience working in autonomous squads and cloud environments.
• Enjoy automation, knowledge sharing, and continuous improvement.
• Fluent in English.

Responsabilités

• Design, build, and maintain robust data pipelines.
• Model data for analytics, BI, AI, and self-service use cases.
• Create Bronze/Silver/Gold and semantic/exposition data models.
• Turn complex business problems into simple, durable data products.
• Enhance data quality, performance, governance, and observability.
• Support near-real-time data needs and an as-code data flow.

Connaissances

Data Engineering

Business Intelligence

Data Transformation

Data Governance

Data Observability

Self-Service Analytics

Product-Oriented Data Engineering

Cloud Environments

Automation

Fluent English

Description du poste

Jobtailor in France (Bordeaux) seeks a data engineer to design, build, and maintain data pipelines across the analytics stack. You will model data for BI, AI, and self-service use, and contribute to Bronze to Exposition layer models.

You will work in autonomous squads in a cloud environment, driving automation, quality, and observability. Fluent English required; this role focuses on scalable data products and AI-assisted workflows.