1

Data Modelling Jobs in Ontario (NOW HIRING)

Work Location Remote Key Tasks Provide operational data modelling support to Hub data assets and data processing pipelines Maintain logical and physical data models Create DDLs and scripts to deploy ...

Data Modelling * Creating KPIs and Business Intelligence Dashboards * Data base querying (SQL) * Coding in HTML * User Interface design * Be a leader cultivating a culture of data-based decision ...

Data Modelling Co-op - Fall 2026

Toronto, ON · On-site

CA$25.50 - CA$27.70/hr

Data Modelling * Creating KPIs and Business Intelligence Dashboards * Data base querying (SQL) * Coding in HTML * User Interface design * Be a leader cultivating a culture of data-based decision ...

Senior Data Modeller

Mississauga, ON · On-site

CA$70K - CA$165K/yr

Conceptual, Logical and Physical Data Modelling expertise - Ability to design clear, scalable logical and physical data models (star/snowflake, dimensional modelling, normalized models) aligned with ...

... data modelling methodologies • Excellent teamwork and communication abilities • Excellent consultative, facilitative, and consensus-building abilities • Proven expertise in developing ...

Knowledge of data modelling, ETL/ELT processes, and data warehousing concepts. * Familiarity with containerization (i.e. Docker, Kubernetes), CI/CD pipelines, and infrastructure-as-code. * Experience ...

Knowledge of data modelling, ETL/ELT processes, and data warehousing concepts. * Familiarity with containerization (i.e. Docker, Kubernetes), CI/CD pipelines, and infrastructure-as-code. * Experience ...

next page

Showing results 1-20

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 in Ontario are hiring for Data Modelling jobs? Cities in Ontario with the most Data Modelling job openings:

Other

Posted 16 days ago


Job description

Job Description LeverageTek is actively seeking a Data Modeler for a 10-month contract with its Ottawa based client. Work Location Remote Key Tasks Provide operational data modelling support to Hub data assets and data processing pipelines Maintain logical and physical data models Create DDLs and scripts to deploy schemas and tables across different accounts Collaborate with the product delivery team to update existing data models Key Qualifications 4-5 years data architecture experience including standards, concepts, patterns, best practices, and methodologies 4-5 years experience logical and physical data modelling experience Proficiency with formal modelling notations (e.g., UML, ER) and experience with data modelling tools such as SPARX Enterprise Architect, Erwin, or PowerDesigner Qualifications General understanding of Reference and Master Data Knowledge of CI/CD practices General knowledge of AWS data storage and analytics services (S3, Glue, Athena, Redshift, Aurora) General knowledge of databases (Oracle, Hive, NoSQL, PostgreSQL) Experience in healthcare, government, or non-profit environments (strong asset) Strong listening and collaboration skills Ability to work independently in a fully remote setting Compensation Hourly Rate Negotiable This is an existing position vacancy. About LeverageTek Staffing Solutions Founded in 2003, LeverageTek provides end-to-end, cross-functional staffing solutions throughout North America

We are a trusted partner to leading private and public sector organizations and experts in talent solutions that create optimal business outcomes. Don't let our name fool you. Our roots are in technology, but we are also a proven leader in accounting and finance, sales and marketing, human resources, supply chain, and legal talent acquisition.

We offer contract and permanent staffing, executive search, talent mapping, management consultancy, and contractor payroll management. LeverageTek is an equal opportunity employer. We offer a welcoming and inclusive environment in service to one another, our customers, the candidates we represent, and the diverse communities we call home.

We do all of this with kindness, empathy, and respect for each other. LeverageTek is committed to employment equity and creating a diverse and inclusive workplace. We welcome applications from all qualified individuals regardless of race, religion, gender, national origin, age, disability, and marital status.

Accessibility accommodations are available upon request. LeverageTek's specialized recruiting professionals use their expertise and our proprietary AI to accelerate connections between top talent and leading companies, while ensuring all screening and hiring decisions remain with our expert human team.