Drive impactful data engineering at Bridgenext as a Senior Full-Stack Data & AI Engineer in a hybrid role. Own the entire data lifecycle within an Azure ecosystem for transformative solutions. You will spearhead the complete data lifecycle from ingestion to AI integration, leveraging strong expertise in Python and FastAPI.

This role is designed for professionals ready to deliver high-quality, reusable data assets while integrating RESTful APIs seamlessly into enterprise platforms. With a focus on Azure Kubernetes Service (AKS), your efforts will create production-ready data products aligned with business objectives. Key Responsibilities:

- Design end-to-end data solutions including ingestion and front-end consumption
- Maintain RESTful APIs with FastAPI, ensuring robust backend functionality




- Develop scalable Python-based data pipelines for analytics and transformation
- Build dashboards and applications using Power BI and React frameworks
- Deploy and operate applications on Azure Kubernetes Service (AKS)

Requirements:

- 8+ years in data engineering or analytics engineering
- Strong experience with FastAPI and SQL databases
- Expertise in developing dashboards with Power BI or similar
- Proficient in deploying containerized apps on AKS
- Robust Python programming skills with data product mindset

Elevate your career by creating impactful data solutions that drive business outcomes at Bridgenext.

📌 Senior Data & AI Engineer at Bridgenext (Toronto)
🏢 UNAVAILABLE
📍 Toronto