Data Engineer AI & Data Integration

Wok Model: Fully Remote

ob Summary:
We are looking for an experienced Data Engineer with strong expertise in Python, Java, and API development to design, implement, and maintain large-scale data integration pipelines and AI-driven solutions. The ideal candidate will have hands-on experience with Django or Spring Framework, data scraping, and LLM-based AI solutions such as Azure AI (RAG, agents, connectors).

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines for integration, transformation, and processing.

• Build and manage APIs using Django or Spring Framework.

• Implement large-scale data scraping and enrichment processes.

• Develop AI-driven applications leveraging LLMs, RAG, and Azure AI connectors.

• Ensure high performance, reliability, and security of data solutions.

• Collaborate closely with cross-functional technical teams to align deliverables with business objectives.

Qualifications & Requirements:

• 5+ years of professional experience in data engineering.

• Advanced proficiency in Python and Java.

• Proven track record in data scraping, data pipeline development, and systems integration.

• Solid understanding of AI concepts with practical experience in LLMs and Azure AI.

• Strong problem-solving skills and ability to work independently.

• Excellent communication skills in English; French is an advantage.

• Experience with cloud platforms (Azure, AWS, or GCP).

• Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines.

• Knowledge of SQL/NoSQL databases and data modeling best practices.

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