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Data & Analytics Engineer designing BI solutions, ETL processes, and data models using Power BI, SQL, and the Microsoft/Azure data ecosystem.
Senior AI Engineer designing and operationalizing ML/AI solutions—predictive models, GenAI assistants, RAG workflows, and agents—for Teradyne's IT organization, building MLOps/LLMOps pipelines and production-grade practices using Azure AI Foundry, Copilot Studio, Anthropic Claude, Vertex AI, and Snowflake.
Semi-senior Data Engineer in Taligent's Center of Excellence designing, building, and maintaining ETL/ELT pipelines on cloud (AWS/Azure/GCP) with Python and SQL, integrating heterogeneous sources and modeling data for analytics and AI use cases.
Senior Azure DevOps Engineer on a 6-month contract designing and implementing Azure cloud infrastructure, CI/CD pipelines, and Infrastructure as Code (Bicep/Terraform) for a large-scale cloud and data transformation programme, with 2 days per week onsite in Bristol.
Build Power BI dashboards and support data pipelines at a pharmaceutical company, using SQL, Python, and Azure/Microsoft Fabric to deliver BI solutions and enable self-service reporting.
Data Engineer designing and building modern cloud data platforms on Microsoft Azure and Fabric, developing ELT pipelines, lakehouse solutions, and data models for enterprise consulting clients.
Design and implement enterprise AI agent solutions using Microsoft Fabric, translating business problems into scalable AI specifications while ensuring governance and security compliance.
AI Engineer building production-grade AI/ML and GenAI solutions (RAG, agents, NL interfaces) on Snowflake Cortex AI, using Python, SQL, and Microsoft Azure in a hybrid Toronto role.
AI Engineer designing and building AI agents with Azure AI Foundry and Microsoft Fabric, integrating them with enterprise data sources to solve business problems at an automotive retail company.
AI Engineer building and deploying AI agent solutions using Azure AI Foundry and Microsoft Fabric, with Python/SQL, for AutoCanada's Information Management team in Edmonton.
Senior DataOps/Cloud Data Engineer based on-site in Toronto, designing and optimizing Azure Data Factory and Databricks pipelines, migrating Informatica ETL to Azure ELT using Medallion Architecture, and connecting on-premises data sources for a government Community Services Cluster project.
Senior DataOps/Cloud Data Engineer building and automating ETL data pipelines using Informatica, Azure Data Factory, and Databricks with Medallion Architecture for a government ministry.
Build and maintain FinOps data pipelines, analytics, and dashboards for enterprise cloud and technology spend management at TD Bank, using SQL, ETL/ELT tools, data platforms like Databricks/Snowflake, and BI tools like Power BI/Tableau.
Design, implement, and optimize scalable data solutions on Microsoft Azure and Fabric—including pipelines, data lakes, warehouses, ADX/KQL, and BI dashboards—for an aviation-sector product company.
Senior Azure Data Engineer designing, implementing, and optimizing scalable data solutions on Azure and Microsoft Fabric for an aeronautical software company, working with ADF, Databricks, Synapse, ADX/KQL, Spark, and Power BI.
Senior Data Engineer / Databricks Technical Architect designing and developing batch and streaming data pipelines on Databricks and Azure, building Lakehouse architectures with Delta Lake and the Medallion pattern.
The Data Engineer/Technical Architect will design and develop batch and streaming data pipelines using Databricks and Azure. The role focuses on building Lakehouse architectures, optimizing distributed workloads, and implementing data governance standards.
The Senior Data Engineer will design and maintain scalable data pipelines and platforms using Databricks, Python, and SQL to support analytics and AI initiatives. The role involves collaborating with cross-functional teams to ensure high-performance data solutions in a cloud-based environment.
Senior Data Engineer on a 3–4 month contract designing and maintaining ETL/ELT pipelines on Microsoft Fabric Lakehouse, implementing medallion architecture (bronze/silver/gold layers) with SQL, Python, and Spark.
The Fabric Data Platform Engineer will design, build, and operate an enterprise data platform using Microsoft Fabric to support analytics and AI services. This role involves implementing end-to-end data pipelines and managing governance and security within the Azure ecosystem.
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