5 results for Database Administrator in Toronto, ON
Senior Database Administrator
- Mississauga, ON
- onsite
- Permanent
-
95000 - 115000 CAD / Yearly
- <p>We are looking for an experienced<strong> Senior Database Administrator</strong> to support an organization in Mississauga, Ontario. This position is suited to a senior technical specialist who can strengthen database reliability, guide architectural decisions, and improve performance across enterprise environments. The role works closely with delivery teams and business partners to ensure database solutions are scalable, secure, and aligned with operational priorities.</p><p><br></p><p><strong>Responsibilities</strong>:</p><p>• Establish and oversee database performance and capacity strategies, including standards that support long-term stability and growth.</p><p>• Partner with project managers, developers, and business analysts to deliver database components for concurrent business and technology initiatives.</p><p>• Investigate and resolve production database issues, including performance concerns linked to application code and data processing.</p><p>• Create detailed testing approaches and maintain reusable scripts to validate database changes before release.</p><p>• Review requested changes, assess downstream impact, and provide informed estimates for effort, timelines, and implementation considerations.</p><p>• Develop and maintain automation and support scripts using Perl, shell scripting, and PL/SQL for monitoring, maintenance, and operational support.</p><p>• Design and implement database architecture across development, test, and production environments to ensure consistency and resiliency.</p><p>• Participate in an after-hours support rotation to address urgent database incidents and maintain service continuity.</p>
- 2026-06-18T00:00:00Z
Data Analyst
- Markham, ON
- onsite
- Contract / Temporary
-
23.75 - 27.5 CAD / Hourly
- We are looking for a Data Analyst to join a utilities and infrastructure organization in Markham, Ontario on a Long-term Contract basis. In this role, you will turn complex product and customer data into practical insights that support the growth and performance of a water-focused portfolio. You will work with partners across the business to strengthen reporting, guide planning decisions, and improve outcomes across the product lifecycle.<br><br>Responsibilities:<br>• Examine product, customer, and revenue data to identify trends in acquisition, retention, pricing performance, and overall profitability.<br>• Build and maintain dashboards and reporting tools that give stakeholders clear visibility into portfolio performance and emerging opportunities.<br>• Perform market and customer analysis to support product planning, prioritization, and longer-term strategic direction.<br>• Provide analytical support for product lifecycle activities, including tracking portfolio changes, measuring unit growth, and assessing attrition patterns.<br>• Support the launch of new offerings by preparing forecasts, monitoring early results, and highlighting areas that require adjustment.<br>• Work with product leadership to assess pricing approaches, review promotional results, and recommend improvements based on data.<br>• Contribute to business cases for new initiatives by gathering insights, validating assumptions, and quantifying potential impact.<br>• Partner with Finance, Supply Chain, Sales, Marketing, Engineering, and Field Operations to support forecasting, margin analysis, go-to-market readiness, and cross-functional execution.
- 2026-06-22T00:00:00Z
Data Scientist
- North York, ON
- onsite
- Permanent
-
100000 - 120000 CAD / Yearly
- <p><strong><u>This job posting is for a current vacancy with our client.</u></strong></p><p><br></p><p>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. </p><p><br></p><p>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.</p><p><br></p><p>Key Responsibilities:</p><p>• Develop, implement, and operationalize machine learning models and analytical solutions within Databricks to address business needs.</p><p>• Create and support scalable data pipelines using Apache Spark, including PySpark or Scala, to process large and diverse datasets efficiently.</p><p>• Examine both structured and unstructured data sources to identify trends, generate forecasts, and support data-driven decision-making.</p><p>• Partner with engineers, analysts, and business stakeholders to define objectives and translate them into practical data science solutions.</p><p>• Use Lakehouse principles in Databricks to manage data ingestion, transformation, storage, and model deployment in a streamlined manner.</p><p>• Apply disciplined machine learning practices across feature creation, model training, testing, deployment, and ongoing performance monitoring.</p><p>• Produce dashboards, visual summaries, and reports that present analytical results clearly for technical and non-technical audiences.</p><p>• Maintain strong standards for data accuracy, governance, security, and compliance throughout analytics and machine learning workflows.</p><p>• Improve the performance, scalability, and cost effectiveness of Databricks processing and model execution environments.</p>
- 2026-06-07T00:00:00Z
Payroll Administrator
- North York, ON
- onsite
- Permanent
-
70000 - 85000 CAD / Yearly
- <p><strong>Payroll Accounting Analyst</strong></p><p><strong>Location:</strong> Greater Toronto Area (On-site/Hybrid)</p><p><strong>Salary:</strong> $70,000 – $85,000 CAD</p><p><strong>Industry:</strong> Hospitality</p><p><br></p><p><strong>Overview</strong></p><p>Our client, a leading organization within the <strong>hospitality industry</strong>, is seeking a detail-oriented and analytical <strong>Payroll Accounting Analyst</strong> to support payroll operations across multiple regions.</p><p>This role is positioned at the intersection of <strong>payroll and accounting</strong>, with a strong emphasis on <strong>financial reporting, reconciliations, and general ledger accuracy</strong>, rather than pure payroll processing. The successful candidate will work closely with payroll vendors, finance teams, and internal stakeholders to ensure accurate financial reporting and compliance.</p><p><br></p><p><strong>What You’ll Be Doing</strong></p><p><strong>Payroll Accounting & Financial Reporting</strong></p><ul><li>Support the accurate recording of payroll transactions within the general ledger across multiple regions</li><li>Prepare journal entries related to payroll, taxes, and employee benefits</li><li>Perform monthly reconciliations between payroll reports and accounting records</li><li>Assist with calculating and booking accruals related to compensation, bonuses, and benefit programs</li><li>Support audit requests by preparing payroll-related schedules and documentation</li></ul><p><strong>Payroll Operations Support</strong></p><ul><li>Assist in processing payroll across multiple regions in partnership with external providers</li><li>Review and validate payroll data from HRIS and third-party systems to ensure accuracy</li><li>Monitor payroll funding timelines and flag discrepancies to leadership</li><li>Track payroll submission deadlines and ensure timely completion of post-payroll activities</li></ul><p><strong>Data Analysis & Controls</strong></p><ul><li>Analyze payroll data to identify discrepancies, variances, and trends</li><li>Perform quality checks on payroll inputs and outputs to maintain data integrity</li><li>Support compliance with internal controls and regional regulatory requirements</li></ul><p><strong>Process Improvement</strong></p><ul><li>Maintain documentation of payroll accounting procedures and internal controls</li><li>Identify opportunities to enhance efficiency in payroll accounting workflows and reporting</li><li>Assist with ERP or payroll system enhancements and implementations</li></ul><p><strong>Cross-Functional Collaboration</strong></p><ul><li>Partner closely with Finance, HR, and regional teams to ensure alignment between payroll and accounting</li><li>Respond to payroll-related inquiries with a focus on financial accuracy and reporting clarity</li><li>Support communication and tracking of incentive payments and one-time adjustments</li></ul><p><br></p>
- 2026-06-04T00:00:00Z
Databricks Developer
- Mississauga, ON
- onsite
- Contract / Temporary
-
70 - 80 CAD / Hourly
- <p>Our client is seeking a <strong>Databricks Developer</strong> to support a <strong>migration project</strong> focused on moving data from <strong>Azure into Databricks</strong>. This role will play a key part in the early stages of the project, with a focus on <strong>data ingestion, SQL development, and end-to-end data flow processes</strong> involving Azure and Databricks. The ideal candidate will bring strong Databricks development experience, hands-on knowledge of Azure-based ingestion processes, and the ability to understand data structures from source through downstream reporting and forecasting systems. This is a 3 month contract to start in Toronto, Ontario looking for an individual available to start working immediately. </p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Develop and support <strong>data ingestion pipelines from Azure into Databricks</strong></li><li>Analyze and understand source <strong>data structures</strong> to ensure accurate ingestion and transformation</li><li>Support <strong>SQL development</strong> related to ingestion, transformation, and validation processes</li><li>Assist with operational data workflows, including <strong>shipment data and loading into the data lake</strong></li><li>Support forecast-related data movement back into Databricks</li><li>Contribute to <strong>end-to-end data flow design and execution</strong> across Azure and Databricks</li><li>Participate in the beginning stages of the project and help establish ingestion best practices and development standards</li></ul><p><br></p>
- 2026-06-09T00:00:00Z