4 results for Cloud Engineer jobs

Data Engineer

Toronto, ON
onsite
Permanent
100000 - 120000 CAD / Yearly
Robert Half is working with a global, consumer‑facing organisation that’s scaling its data platform to better support marketing, sales, and customer analytics. They’ve recently invested heavily in their data stack and are growing their Data Engineering team to meet rising demand from the business.This is an intermediate‑level role where you’ll work closely with marketing stakeholders, BI, and software engineering to deliver trusted, analytics‑ready data. What you’ll be doing<ul><li>Partner directly with Marketing and Sales teams to understand data requirements</li><li>Design and build data models that power dashboards and analysis</li><li>Build and maintain data pipelines end‑to‑end</li><li>Work with cloud data platforms to ensure performance and reliability</li><li>Collaborate closely with BI and software engineering teams</li></ul>Tech environment<ul><li>Cloud data warehouse (AWS‑based, Redshift‑style)</li><li>SQL & Python</li><li>dbt for data modelling</li><li>Fivetran (or similar) for ingestion</li><li>Airflow for orchestration</li><li>BI tooling (Looker‑type stack)</li><li>Strong Salesforce / marketing data footprint</li><li>(Marketing Cloud / CRM / customer data experience is highly relevant)</li></ul>
2026-05-14T00:00:00Z

Databricks Developer/Engineer

Mississauga, ON
remote
Contract / Temporary
60 - 70 CAD / Hourly
We are looking for a Databricks Developer/Engineer to join a Contract opportunity in Mississauga, Ontario within the drink and beverages industry. This position will support the design and delivery of scalable data pipelines, helping move operational and forecasting information into a modern cloud-based environment. The ideal candidate brings strong end-to-end data engineering experience, with a focus on Azure-based ingestion, Databricks development, and reliable data integration across enterprise platforms. This is a 3 month contract to start looking for an individual available to start working immediately. Responsibilities:• Build and maintain data pipelines in Databricks to process, transform, and organize business-critical data for downstream use.• Develop Azure-based ingestion workflows that bring source data into the data lake accurately and efficiently.• Analyze source data structures and map them to target models to support consistent and dependable data loading.• Enable the movement of operational shipment and loading data into cloud storage environments for reporting and analytics.• Support the integration of forecast data back into Databricks so teams can access timely and usable information.• Collaborate with internal stakeholders to ensure data is ingested correctly into Hyperion and aligned with business requirements.• Contribute to end-to-end engineering activities, from initial data assessment through implementation, validation, and optimization.• Assist with reporting and analytical needs by preparing datasets that can be leveraged in tools such as Power BI when required.
2026-06-09T00:00:00Z

Data Scientist

North York, ON
onsite
Permanent
100000 - 120000 CAD / Yearly
This job posting is for a current vacancy with our client. We are seeking an experienced Data Scientist for our client's growing Analytics team. The Data Scientist will be based in Toronto, Ontario, where they will turn complex data into practical insights that support business decisions. A core focus of this role includes machine learning expertise, data engineering capability, and analytical thinking to develop scalable solutions in a Databricks environment. You will work closely with technical and business teams to build reliable models, improve data workflows, and communicate findings in a clear and meaningful way. Key Responsibilities:• Develop, implement, and operationalize machine learning models and analytical solutions within Databricks to address business needs.• Create and support scalable data pipelines using Apache Spark, including PySpark or Scala, to process large and diverse datasets efficiently.• Examine both structured and unstructured data sources to identify trends, generate forecasts, and support data-driven decision-making.• Partner with engineers, analysts, and business stakeholders to define objectives and translate them into practical data science solutions.• Use Lakehouse principles in Databricks to manage data ingestion, transformation, storage, and model deployment in a streamlined manner.• Apply disciplined machine learning practices across feature creation, model training, testing, deployment, and ongoing performance monitoring.• Produce dashboards, visual summaries, and reports that present analytical results clearly for technical and non-technical audiences.• Maintain strong standards for data accuracy, governance, security, and compliance throughout analytics and machine learning workflows.• Improve the performance, scalability, and cost effectiveness of Databricks processing and model execution environments.
2026-06-07T00:00:00Z

D365 F&O Platform Engineer

Toronto, ON
onsite
Permanent
110000 - 120000 CAD / Yearly
This is a hybrid opportunity (2–3 days per week onsite) based in Downtown Toronto. Are you ready to help build an innovative, global ERP team? We are looking for an experienced D365 F&O Platform Engineer for our client in Toronto, Ontario. In this role, you will apply your expertise in Microsoft Dynamics 365 Finance & Operations to support, troubleshoot, and implement ERP systems. If you have a strong background in techno-functional solutions and a passion for optimizing business processes, this opportunity is perfect for you. Responsibilities:• Provide technical and functional support for Microsoft Dynamics 365 Finance & Operations, ensuring smooth system operations.• Troubleshoot system issues and resolve technical challenges directly within the application.• Assist end users by addressing their queries and providing solutions in a production environment. • Collaborate on the implementation and maintenance of system modules, workflows, and security roles.• Utilize Lifecycle Services, Azure DevOps, and Power Platform tools to manage and improve ERP performance.• Develop and maintain electronic reporting frameworks and data management strategies.• Participate in the integration of Power Platform and Dataverse to enhance system functionality.• Perform basic object-oriented programming tasks to support system customizations.• Generate reports and dashboards using Power BI for data visualization and decision-making.• Work with support tickets to ensure timely resolution and documentation of issues.0013416067
2026-06-11T00:00:00Z