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Data Modelling Jobs in Markham, ON (NOW HIRING)

Solid understanding of data warehousing, data lakehouse architectures, and data modelling concepts-and when to apply each * Proficiency with DevOps/DataOps practices and CI/CD tooling (e.g., GitHub ...

Apply strong knowledge of data modelling and data warehouse concepts to optimise architecture. * Troubleshoot issues during development and testing phases, ensuring smooth deployment of data ...

Requirements engineering and data modelling experience, 1-2 years * Experience with EDM platforms, 4-5 years * Experience with service request systems or any other similar ticketing tool, like HPALM ...

Familiarity with dimensional data modelling, data warehouse concepts, and layered/medallion architecture patterns * Exposure to Azure data services (Synapse Analytics, Data Factory, Data Lake Storage ...

Architect - GTB Data and Platforms

Toronto, ON · On-site

CA$165K - CA$200K/yr

Extensive experience in data modelling, includinggraph-based models * Extensive experience in designing, developing,deploying andbig data applications on platforms such as Apache SparkorDatabricks.

Strong understanding of data modelling, data pipelines, and report generation processes Nice to Have Skills & Experience * Experience with data visualization tools such as Power BI or Tableau

Work at the intersection of large-scale data engineering, statistical modelling, and cutting-edge AI, building the infrastructure that powers operational efficiency and financial forecasting across ...

... data modelling and analytics initiatives in support of investigations, criminal activity and risk mitigation. * Contributes to the design of complex predictive models and pattern detection algorithms ...

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Data Modelling information

Will AI replace data modelers?

AI is unlikely to fully replace data modelers, as their role involves complex understanding of business needs, data structures, and design principles that require human judgment. Instead, AI tools can assist data modelers by automating routine tasks and enhancing productivity, allowing them to focus on more strategic aspects of data modeling. Continuous learning and proficiency with data modeling tools remain important for job security in this field.

Is 40 too late for data science?

Data Modelling is a key skill in data science, and age is not a barrier to entering the field. Many professionals transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and tools like SQL or Python. Continuous learning and building a strong portfolio can help overcome age-related concerns in the industry.

How much do data modelers make?

Data modelers typically earn between $70,000 and $120,000 annually, depending on experience, location, and industry. Senior data modelers with specialized skills in database design and data warehousing can earn higher salaries, especially with certifications and advanced tools knowledge.

What do you do in data modeling?

A data modeler designs and creates data structures, such as databases and schemas, to organize and store information efficiently. They analyze data requirements, define relationships, and use tools like ER diagrams and modeling software to ensure data integrity and accessibility.

What is the difference between Data Modelling vs Data Analyst?

AspectData ModellingData Analyst
Primary FocusDesigning data structures and schemasAnalyzing data to generate insights
Skills & CertificationsData modeling, database design, SQLData analysis, statistics, Excel, SQL
Work EnvironmentDatabase design teams, data architectureBusiness units, reporting teams
Tools UsedER diagrams, data modeling softwareExcel, BI tools, SQL

Data Modelling focuses on creating the structure and design of data systems, while Data Analysts interpret data to provide actionable insights. Both roles often collaborate but serve different purposes within data management and analysis processes.

What cities near Markham, ON are hiring for Data Modelling jobs? Cities near Markham, ON with the most Data Modelling job openings:
RQ10945 - Sr. Business Intelligence Specialist

RQ10945 - Sr. Business Intelligence Specialist

Source Code

Toronto, ON

Contractor

Posted 13 days ago

Be an early applicant


Job description

RQ10945 - Sr. Business Intelligence Specialist

10+ month contract - possible extenion of 1+ year

ONSITE 5 days - 595 Bay Street

Security Level: CRJMC + Credit Check

Must-haves:

  1. Data Warehouse/Lakehouse Concepts: Strong understanding of data warehousing principles, including data modelling, ETL processes, data integration, and data governance.
  2. Power BI: Proficiency in Power BI, including data modelling, creating interactive reports and dashboards and utilizing advanced features
  3. Data Integration: Knowledge of various data integration techniques, including data extraction from different sources (e.g., databases, APIs, flat files), data transformation, and loading into a data warehouse. Proven experience with ETL tools and technologies, such as Azure Synapse
  4. Proven experience producing reports from data from Dynamics 365 Customer Experience (CE) and Finance (F&O).
  5. Experience with SQL Server Management Studio, Azure data management tools, SQL4CDS
  6. Familiarity with version control systems (e.g., Azure Repos) and collaboration tools (e.g., Azure DevOps) for managing code, tracking changes, and collaborating with team members.

Project Details:

The OPGT Modernization initiative is essential to the ongoing provision of services to Ontarians who cannot care for themselves and have no one else able to act on their behalf.

Phase 1 of this IT project implemented a cloud based, fully integrated, Microsoft Dynamics 365 solution to replace end of life case, financial, and document management systems. Phase 1 of the solution was launched in April 2026 as a minimum viable product (MVP). The Phase 2 project will deliver enhancements to the MVP with additional workflows, automation, and new features and functionality.

Scope:

The Office of the Public Guardian and Trustee (OPGT) requires a Senior Business Intelligence Specialist to help enhance the audit and reporting functionality in a Microsoft Dynamics MVP (minimum viable product).

Assignment Deliverables:

As a member of the PGTIMS Support and Data Reporting team, you will be responsible for helping to define enhancements to MVP audit and reporting functionality. A high-level list of deliverables for audit and reporting follows:

  • Collaborate with cross-functional teams: work with teams across departments to understand business requirements and deliver data-driven solutions.
  • Database management: work with databases and the data warehouse to extract, transform, and load data for analysis.
  • Data analysis: analyze and interpret complex data sets to provide valuable insights into business performance and trends.
  • Data Modeling: create logical and physical data models that align with the organization's reporting and analytical needs.
  • Data Security and Governance: apply security controls to protect sensitive data.
  • Reporting and Visualization: develop reports, dashboards and visualizations per user requirements.
  • Data accuracy: Ensure the quality, accuracy and integrity of reports.
  • Performance Optimization: fine-tune data warehouse and reporting processes to optimize query performance and overall system efficiency.
  • Other duties as assigned.

You will also be required to:

  • Complete work and achieve milestones within the assigned deadlines.
  • Notify the Cluster/Ministry project Manager in writing of any issues or other material concerns related to the Assignment Deliverables, as soon as you become aware of them
  • Submit Deliverables for Cluster/Ministry approval as they are completed.
  • Comply with the Ontario Government and the Cluster/Ministry security procedures and practices.
  • Comply with the Ontario Government and the Cluster/Ministry architecture/technology standards and best practices.
  • Comply with the Ontario Government and the Cluster/Ministry Conflict of Interest and Confidentiality Guidelines.
  • Provide knowledge and skill transfer to designated Cluster/Ministry staff.
  • Comply with the Ontario Government I&IT Directive, Operational Policy on the I&IT Project Gateway Process, and other applicable Guidelines, Standards and Procedures.

Desired Skills and Experience:

  • Data Warehouse/Lakehouse Concepts: Strong understanding of data warehousing principles, including data modeling, ETL processes, data integration, and data governance.
  • Power BI: Proficiency in Power BI, including data modeling, creating interactive reports and dashboards, configuring data gateways, and utilizing advanced features such as DAX and Power Query.
  • SQL and Query Optimization: Strong SQL skills for writing complex queries, optimizing database performance, and troubleshooting query performance issues. Understanding of indexing, partitioning, and query execution plans.
  • Data Integration: Knowledge of various data integration techniques, including data extraction from different sources (e.g., databases, APIs, flat files), data transformation, and loading into a data warehouse. Proven experience with ETL tools and technologies, such as Azure Synapse
  • Data Modeling and Design: Proficiency in designing logical and physical data models, understanding relationships, defining hierarchies, and ensuring efficient data storage and retrieval.
  • Data Visualization: Ability to create visually appealing and informative reports and dashboards using Power BI, understanding best practices for data visualization, and storytelling with data.
  • Analytical and Problem-Solving Skills: Strong analytical thinking and problem-solving abilities to identify business requirements, analyze data, and provide meaningful insights to stakeholders.
  • Communication and Collaboration: Effective communication skills to interact with stakeholders, gather requirements, and present findings. Collaboration skills to work with cross-functional teams, such as data engineers, data analysts, and business stakeholders.
  • Familiarity with version control systems (e.g., Azure Repos) and collaboration tools (e.g., Azure DevOps) for managing code, tracking changes, and collaborating with team members.
  • Experience with SQL Server Management Studio, Azure data management tools, SQL4CDS
  • Proven experience producing reports from data from Dynamics 365 Customer Experience (CE) and Finance (F&O).


AI Disclaimer: Source Code may use artificial intelligence (AI) tools to assist in certain aspects of its recruiting and business operations.

Note: The higher end of the range is intended for absolutely exceptional candidates who meet all must-have requirements and most or all nice-to-have qualifications. The client will evaluate candidates based on both rate expectations and overall skill set when shortlisting.

INCORPORATED RATE RANGE (7.25 billable hours per day)

  • $89.31/hr - $107.17/hr Inc.

T4 RATE RANGE (7.25 billable hours per day)

  • $71.45/hr - $85.74/hr T4