Senior Full-Stack Data & AI Engineer

Company Overview Bridgenext is a digital consulting services leader that helps clients innovate with intention and realize their digital aspirations by creating digital products, experiences, and solutions around what real people need. Our global consulting and delivery teams facilitate highly strategic digital initiatives through digital product engineering, automation, data engineering, and infrastructure modernization services, while elevating brands through digital experience, creative content, and customer data analytics services. Don't just work, thrive. At Bridgenext, you have an opportunity to make a real difference - driving tangible business value for clients, while simultaneously propelling your own career growth. Our flexible and inclusive work culture provides you with the autonomy, resources, and opportunities to succeed. Position Description Bridgenext is seeking a Senior Full-Stack Data & AI Engineer to own the complete data lifecycle—from ingestion and engineering through data modeling, analytics, AI enablement, and front-end consumption—within a cloud-native Azure ecosystem. The role requires strong hands-on expertise in Python-based data engineering, analytics, and AI integration using FastAPI, along with the ability to build or support dashboards and data-driven front-end applications that deliver business-ready outputs. The Senior Engineer will be responsible for owning the full data product lifecycle—requirements, build, deploy, run, and optimize—delivering reusable, governed, high-quality data assets and integrating RESTful APIs with enterprise platforms. Solutions are expected to run on Azure Kubernetes Service (AKS) with built-in authentication, authorization, and scalability. This role focuses on delivering robust, production-ready data products with a data product mindset—reusable, governed, and aligned to business outcomes—within an existing Azure-centric framework. It is positioned as a full-stack Data & AI Engineering role, not a traditional full-stack development position. Responsibilities Include But Are Not Limited To Design, develop, and own end-to-end data solutions spanning data ingestion, engineering, modeling, analytics, AI, and front-end consumptionBuild and maintain RESTful APIs using FastAPI with authentication, rate limiting, pagination, and error handlingDevelop scalable data pipelines and backend services using Python for data ingestion, transformation, and orchestrationBuild or support dashboards and data-driven applications (e.g., Power BI, React UI) to enable front-end consumption of data products and KPIsDesign and implement conceptual, logical, and physical data models; build and maintain semantic layers to ensure consistent, governed data accessDeploy and operate containerized data and AI applications on Azure Kubernetes Service (AKS)Enable ML/LLM use cases including chat, summarization, RAG, agents, and evaluators; prepare and manage data for model training and inferenceIntegrate data pipelines and applications with Azure OpenAI and other AI services to power intelligent, data-driven featuresDeliver analysis-ready datasets, KPIs, and business-ready outputs aligned to stakeholder requirements; collaborate with cross-functional teams and participate in code reviewsOwn the full lifecycle of data products: requirements gathering, build, deployment, operational monitoring, and continuous optimization Workplace: Hybrid in the Greater Toronto Area Must Have Skills 8+ years of professional experience in data engineering, analytics engineering, or full-stack data platform developmentExperience building or supporting dashboards and data-driven applications using tools such as Power BI, React, or similar frameworksStrong experience building RESTful APIs using FastAPIExpertise in SQL databases (PostgreSQL, MySQL, SQL Server) with strong data modeling skills (conceptual, logical, physical models and semantic layers)Experience with NoSQL databases such as MongoDB, DynamoDB, or Redis for diverse data storage needsHands-on experience deploying containerized data and AI applications on AKSExperience enabling ML/LLM use cases including data preparation for training/inference, RAG, chat, and summarizationExperience integrating data pipelines with Azure OpenAI and other AI servicesStrong proficiency in Python programming with a data product mindset—building reusable, governed, high-quality data assets aligned to business outcomes Preferred Skills Good understanding of Agentic AI frameworks such as LangChain or AutoGenExposure to Agent-to-Agent (A2A) communication and agent scalingAzure data platform experience including Data Factory, Synapse, Purview, Entra ID fundamentals, and app registrationsKnowledge of OAuth2, OIDC, SSO, and SAML configurations; familiarity with data governance and cataloging tools Professional Skills Solid written, verbal, and presentation communication skillsStrong team and individual playerMaintains composure during all types of situations and is collaborative by natureHigh standards of professionalism, consistently producing high quality resultsSelf-sufficient, independent requiring very little supervision or interventionDemonstrate flexibility and openness to bring creative solutions to address issues Bridgenext is an Equal Opportunity Employer Canadian citizens and those authorized to work in Canada are encouraged to apply Compensation varies depending on a wide array of factors, which may include but are not limited to location, role, skill set, and level of experience. As required by local law, Bridgenext provides a reasonable range of compensation, based on full-time employment, for roles that may be hired as described above. The current salary range for this position is $130,000 - $150,000 CAD annually. Our comprehensive total rewards program goes way beyond a competitive salary.