We are looking for a Data Engineer to join a team in Kitchener, Ontario and build reliable, scalable data solutions that support analytics and business decision-making. This position is well suited to someone who brings strong experience in modern data warehousing, cloud-based data platforms, and robust engineering practices. The successful candidate will work across batch and real-time pipelines, contribute to data architecture design, and help strengthen delivery within an Agile environment.<br><br>Responsibilities:<br>• Design, build, and maintain data pipelines that support both scheduled and near real-time processing across enterprise data platforms.<br>• Develop and optimize data solutions within Databricks using Python, PySpark, and Spark SQL to deliver dependable and efficient data workflows.<br>• Create and enhance data warehouse structures using dimensional modelling principles and layered architecture approaches such as Medallion frameworks.<br>• Integrate and manage cloud-based data services in Azure, including orchestration, secure secret handling, and storage components to support end-to-end data movement.<br>• Apply sound software engineering practices by writing maintainable code, implementing tests, and contributing to CI/CD processes within a DevOps setting.<br>• Collaborate with cross-functional teams in Agile delivery models to define requirements, refine technical approaches, and deliver data products iteratively.<br>• Analyse data structures and transformation needs to choose appropriate modelling and manipulation techniques for different business use cases.<br>• Support data platform improvements and related technical changes, including enhancements tied to evolving systems, integrations, or operational processes where required.
<p><strong><u>This is a hybrid position (3x a week in the office) in Downtown Toronto. This job posting is for a current vacancy with our client.</u></strong></p><p><br></p><p><strong> </strong></p><p> We are looking for a Data Analyst who enjoys working hands-on with data while partnering with business and finance stakeholders. The ideal candidate will bring strong SQL and advanced Excel skills, experience working with financial data, and the ability to turn complex information into clear and meaningful reports and insights.</p><p><strong> </strong></p><p> </p><p><strong>What you will do and how you will make an impact … </strong></p><p><strong> </strong></p><p>· Develop, maintain, and enhance financial and operational reports, dashboards, and recurring reporting packages.</p><p>· Extract and analyze data from multiple systems and data sources using SQL and Excel.</p><p>· Work extensively with Excel, including PivotTables, data manipulation, analysis, charts, and reporting.</p><p>· Prepare, validate, and reconcile data to ensure reports are complete and accurate.</p><p>· Create recurring and ad hoc reports to support management and business decision-making.</p><p>· Present reports and findings to stakeholders and help communicate the story behind the data.</p><p> </p><p><strong> </strong></p>
<p>Our client is a mission-driven national organization looking for a Cloud Engineer to join their technology team. This role is ideal for a senior cloud professional who enjoys being hands-on with Microsoft technologies while also contributing to cloud strategy, architecture, security, automation, and continuous improvement initiatives.</p><p>Working closely with architects, business stakeholders, vendors, and technology teams, you will help design, implement, secure, and optimize enterprise cloud environments that support organizational objectives and digital transformation initiatives.</p><p><br></p><p>What You'll Be Doing</p><ul><li>Design, implement, and administer cloud infrastructure and Microsoft 365 environments.</li><li>Manage and optimize Azure services, including virtual machines, networking, storage, and disaster recovery solutions.</li><li>Support Microsoft Modern Workplace technologies, including identity, endpoint management, collaboration, and security platforms.</li><li>Implement automation, monitoring, and process improvements to improve operational efficiency and reliability.</li><li>Collaborate with stakeholders to evaluate technology solutions and align cloud services with business requirements.</li><li>Assist with cybersecurity, risk management, compliance, and governance initiatives.</li><li>Support cloud operations, incident resolution, root cause analysis, and ongoing platform maintenance.</li><li>Create and maintain technical documentation, standards, and procedures.</li><li>Contribute to cloud, infrastructure, data, and digital workplace roadmaps.</li><li>Provide technical guidance and mentorship to team members and project stakeholders.</li></ul><p><br></p>
We are looking for a Data Analyst - Collections to support data-driven decision-making for a collections function within the utilities and infrastructure sector in Markham, Ontario. This position focuses on turning operational and financial data into practical insights that improve recovery performance, strengthen reporting accuracy, and support business-to-business collections strategies. The successful candidate will work closely with collections, credit, sales, and leadership teams to monitor trends, evaluate results, and recommend process improvements based on clear analysis.<br><br>Responsibilities:<br>• Analyze collections and credit performance data to identify trends, risks, and opportunities that support stronger recovery results.<br>• Build, maintain, and enhance dashboards and recurring reports using tools such as Power BI, Excel, SQL, and CRM-based data sources.<br>• Track key performance indicators, call centre activity, and portfolio metrics, then present findings to stakeholders in a clear and actionable format.<br>• Partner with collections, credit, and sales teams to improve reporting visibility and align operational priorities with business goals.<br>• Review account and portfolio-level information to uncover payment behaviour patterns and support more effective collection strategies in a B2B environment.<br>• Validate data accuracy across reporting sources and resolve inconsistencies to ensure dependable insight for leadership decision-making.<br>• Support ongoing improvements to collection processes by translating business needs into meaningful analysis and performance measurement.<br>• Contribute to reporting updates tied to system or process changes when required, ensuring continuity and clarity in collections performance tracking.
We are looking for a Business Analyst to join a growing team in Ontario on a contract-to-permanent basis. This opportunity is well suited to someone who enjoys working in a fast-moving business, turning complex financial and operational data into clear recommendations for leaders across the organization. The role offers exposure to planning, forecasting, reporting, and cross-functional projects, making it ideal for an analytical individual who is eager to contribute beyond routine reporting.<br><br>Responsibilities:<br>• Analyze financial, sales, and operational results to identify trends, explain variances, and support forward-looking business decisions.<br>• Build, refine, and maintain dashboards and reporting tools that provide clear visibility into performance metrics for finance, marketing, and leadership teams.<br>• Partner with stakeholders across departments to gather business needs, document requirements, and translate them into practical reporting or analytical solutions.<br>• Support quarterly forecasting and ongoing planning activities by consolidating data, validating assumptions, and highlighting risks and opportunities.<br>• Develop financial models and ad hoc analyses to evaluate business performance, commercial initiatives, and emerging priorities.<br>• Work with large data sets using tools such as Power BI, Snowflake, Excel, and CRM platforms to produce accurate and actionable insights.<br>• Contribute to project-based initiatives by performing gap analysis, preparing documentation, and helping teams adapt to changing business priorities.<br>• Communicate findings in a concise and meaningful way to both technical and non-technical audiences, including executive stakeholders.