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Power Bi Data Engineer Jobs in Ontario (NOW HIRING)

GEI Consultants

Data Engineer

Kitchener, ON · On-site

Support and optimize data models underpinning Power BI dashboards and AI-enabled analytics. * Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution ...

GEI Consultants

Data Engineer

Concord, ON · On-site

Support and optimize data models underpinning Power BI dashboards and AI-enabled analytics. * Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution ...

Minto

Manager, Engineering and Data Platform

Ottawa, ON

CA$130K - CA$150K/yr

Manager, Engineering & Data Platform Location: Flex Scheduled (180 Kent Street, Ottawa Ontario or ... Experience with Power Platform, Power BI, MuleSoft, Agile methodologies-and emerging AI/agent ...

GEI Consultants

Data Engineer

Markham, ON · On-site

Support and optimize data models underpinning Power BI dashboards and AI-enabled analytics. * Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution ...

GEI Consultants

Data Engineer

Guelph, ON · On-site

Support and optimize data models underpinning Power BI dashboards and AI-enabled analytics. * Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution ...

Teladoc Health, Inc.

The Data Engineer works closely with analytics, operations, IT, data governance, and AI ... Support and optimize data models in Power BI dashboards and Ai-enabled analytics. * Prepare and ...

ShyftLabs

Data Engineer

Toronto, ON · Hybrid

CA$100K - CA$140K/yr

The Opportunity ShyftLabs is seeking a skilled Data Engineer to support in designing, developing ... Strong understanding of business intelligence and reporting tools (Power BI, Tableau, Looker)

Scotiabank

Associate Data Engineer

Toronto, ON

Purpose Contributes to the overall success of the Data Engineering Team under GOCT Solution ... Support cloud and hybrid data platforms including Azure Data Factory pipelines and Power BI Report ...

Omers

BI & Data Analyst (12 Months Contract)

Toronto, ON · Hybrid

CA$72K - CA$108K/yr

We are a leading global real estate investor, developer and manager. We combine our capital with ... Experience with Power BI, SQL, and advanced Excel functionality (including Power Query) to develop ...

Caeus

Data Engineer

Ottawa, ON · Hybrid

Familiarity with IBM Cognos, Power BI, or other BI/reporting tools. * Proficiency in Python and ... Minimum Qualifications: * 2-3 years of data engineering experience * Eligibility to obtain and ...

Royal Bank of Canada

Senior Data Engineer

Toronto, ON · On-site

... Power BI optimization, data observability, and analytics governance to enable self-service ... Data Engineering: Python, Apache Airflow, Apache Kafka, Microsoft SQL Server, Elasticsearch stack ...

Klick Health

Data Engineer

Toronto, ON · Hybrid

The Data Engineer supports analytics and omnichannel initiatives by designing, building, and ... Experience with data visualization tools such as Power BI * Familiarity with CI/CD pipelines or Git ...

CIBC US

BI Engineer

Toronto, ON · On-site +1

As a Data Engineer, you'll be part of Enterprise Business Intelligence (BI) Technology team ... Your knowledge spans across BI tools such as SAS, Tableau, Alteryx, Power BI, and ThoughtSpot ...

Saransh Inc

Support and optimize Power BI platform environments * Collaborate with data engineering teams on scalable, cost-effective architectures * Troubleshoot platform issues and provide operational support ...

Morson Talent

25-167 Data Engineer

Oshawa, ON · Hybrid

$75 - $95/hr

Data Engineer 25-0167 Resume Due Date: Tuesday June 9th 2026 (5:00PM EST) Number of Vacancies: 1 ... Power BI. Work within the agile SCRUM work management framework in delivery of products and ...

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Power Bi Data Engineer information

What is a Power BI data engineer?

A Power BI Data Engineer is a professional who specializes in designing, building, and managing data solutions using Microsoft Power BI and related technologies. Their primary responsibilities include data modeling, transforming raw data into insightful reports and dashboards, and ensuring data quality and security. They work closely with business analysts and stakeholders to understand data requirements and deliver actionable business intelligence. Power BI Data Engineers often utilize various data sources, integrate them with Power BI, and optimize performance for reporting and analytics.

What are the key skills and qualifications needed to thrive as a Power BI data engineer?

To thrive as a Power BI Data Engineer, you need expertise in data modeling, ETL processes, SQL, and a strong understanding of business intelligence concepts, typically backed by a degree in computer science or a related field. Proficiency in Power BI, DAX, Power Query, and experience with cloud platforms like Azure are crucial, and certifications such as Microsoft Certified: Data Analyst Associate can be advantageous. Strong analytical thinking, problem-solving, and effective communication help in translating business requirements into actionable data insights. These skills ensure the delivery of accurate, impactful dashboards and reports that drive informed decision-making within organizations.

How do Power BI data engineers typically collaborate with business analysts and stakeholders during a project?

Power BI Data Engineers work closely with business analysts and stakeholders to understand reporting needs, translate requirements into technical solutions, and ensure data models support actionable insights. They often participate in requirement-gathering sessions, clarify data sources, and provide expertise on data integration and visualization best practices. Regular communication and feedback loops are essential to ensure the final dashboards and reports meet business objectives and remain scalable for future enhancements.

What is the difference between Power Bi Data Engineer vs Power BI Developer?

AspectPower Bi Data EngineerPower BI Developer
Primary FocusBuilding data pipelines, data architecture, and integrating data sourcesCreating reports, dashboards, and visualizations for end-users
Skills & CertificationsData modeling, ETL processes, SQL, Azure Data servicesPower BI, DAX, data visualization, report design
Work EnvironmentData warehouses, backend data systems, cloud platformsBusiness units, end-user reporting, front-end visualization
Common UsageData engineering teams, BI infrastructure setupBusiness analysts, report creators, end-user support

While both roles work with Power BI, the Power Bi Data Engineer primarily focuses on data infrastructure, pipelines, and integration, whereas the Power BI Developer concentrates on designing and developing reports and dashboards for business insights.

Is Power Bi Data Engineer still in demand in 2026 and after 2026?

Power BI Data Engineers are expected to remain in demand beyond 2026 due to ongoing needs for data visualization, reporting, and analytics in organizations. As businesses increasingly rely on data-driven decision-making, skills in Power BI, data modeling, and cloud integration will continue to be valuable in the job market.

Is Power Bi Data Engineer still in demand?

Power BI Data Engineers are in high demand due to the increasing need for data visualization and analytics in organizations. Skills in data modeling, ETL processes, and proficiency with Power BI tools are valuable, and demand is expected to grow as companies prioritize data-driven decision-making.

What are popular job titles related to Power Bi Data Engineer jobs in Ontario?

For Power Bi Data Engineer jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Power Bi Data Engineer jobs in Ontario look for?

The top searched job categories for Power Bi Data Engineer jobs in Ontario are:

What cities in Ontario are hiring for Power Bi Data Engineer jobs?

Cities in Ontario with the most Power Bi Data Engineer job openings:

Power Bi Data Engineer jobs near you
Infographic showing various Power Bi Data Engineer job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Engineer

GEI Consultants

Kitchener, ON • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 27 days ago

GEI Consultants rating

7.6

Company rating: 7.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

285th of 450 rated engineering

Job description

Description

Your role at GEI. 
 
The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI’s AI solutions and digital initiatives. This role focuses on ensuring enterprise data is accessible, reliable, and governed so that AI capabilities can be deployed and scaled with confidence.
 
The Data Engineer plays a hands-on role by preparing and integrating the data foundations that AI solutions depend on. This includes building ingestion pipelines, managing data stores, implementing quality and governance controls, and supporting retrieval patterns such as RAG. This role works closely with AI Engineers, solution architects, and platform teams to ensure data infrastructure is production-ready, secure, and aligned with GEI standards.
 
Essential Responsibilities & Duties 
  • Design, build, and maintain data pipelines that ingest, transform, and deliver enterprise data to AI solutions and business applications.
  • Develop and manage integrations across enterprise data sources using APIs, Graph connectors, event-driven architectures, and batch/streaming patterns.
  • Build and maintain data stores and indexing infrastructure that support retrieval-augmented generation (RAG) and other AI consumption patterns.
  • Implement data quality, validation, and lineage controls to ensure accuracy and trustworthiness of data feeding AI workflows.
  • Support and optimize data models underpinning Power BI dashboards and AI-enabled analytics.
  • Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution requirements for schema, latency, and freshness.
  • Instrument data pipelines for monitoring, alerting, cost control, and performance optimization.
  • Implement data governance and security controls including access management, encryption, and compliance with organizational data policies.
  • Identify data-related risks and support mitigation strategies in collaboration with architecture and platform teams. 
Minimum Qualifications 
  • 4+ years of data engineering experience, with demonstrated ability to build and operate production data pipelines.
  • Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred.
  • Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure SQL.
  • Familiarity with Azure AI Search, Cosmos DB, or similar services used to support AI retrieval and storage patterns.
  • Experience building and managing ETL/ELT pipelines with structured, semi-structured, and unstructured data sources.
  • Knowledge of data modeling, schema design, and indexing strategies for both analytical and AI workloads.
  • Familiarity with infrastructure-as-code and CI/CD practices for data pipeline deployment (e.g., Terraform, Azure DevOps).
  • Knowledge of data governance principles, including data cataloging, lineage, access control, and privacy requirements.
  • Knowledge of security best practices for data solutions, including encryption at rest and in transit, role-based access control, and private networking.
  • Experience with Databricks, including Delta Lake and Unity Catalog, is a plus.
  • Prior experience in professional services, engineering, or construction environments is a plus.
  • Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus. 
We are GEI. 
 
Some of the world’s most pressing problems – from climate change to sustainable development, to critical infrastructure and the future of our energy supply – need our brightest and diverse minds working together to create safer, more resilient communities for tomorrow.  
 
We are technical experts, collaborators, and entrepreneurs who draw from diverse backgrounds to solve our clients’ most complex challenges.  
 
With several offices across North America, we offer a range of engineering, science, and technical consulting services. Our range of expertise, project types, and culture make us the choice for top talent in the AEC industry. See all our office locations here.
 
Employee-owned. Employee-focused.  
 
As an employee-owned company, our employees support our flat leadership structure, have a say in how our business operates and benefit from our financial success. We are committed to employee growth with career development opportunities, competitive total rewards, a well-being program, flexible work arrangements and more.  Our company culture is driven by our 4 Cs – we are Client-Centered, Curious, Collaborative, and Community Minded – which support our focus on sustainability, safety, diversity, equity and inclusion. Get to know us better by visiting GEI’s career site here.
 
GEI’s Total Rewards Package Includes 
  • Market-Competitive Compensation, including Eligibility for an Annual Performance Bonus
  • Pay Range For This Position: $90,000.00 – $150,000.00/year
  • Comprehensive Benefits Program, including Medical, Dental, Vision, Life, Disability and More
  • Well-Being Program and Paid Parental Leave
  • Commuter Benefits
  • Hybrid Work Schedules and Cell Phone Stipends
  • GEI University (GEIU) with Continuing Education Assistance and Tuition Reimbursement
  • Connecting Conversation Program with a Focus on Professional Development and Opportunities for Advancement
  • Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses
  • Paid Holidays and Generous Paid Time Off Program
  • Rewards and Recognition
  • GEI-Funded Profit Sharing and 401(k)
  • Opportunity to be an Owner and Shareholder (Learn more here)
  • A Vibrant Culture that is Focused on Partnership, Sustainability, Giving Back to Our Communities and Diversity, Equity and Inclusion
  • And More…
PHYSICAL REQUIREMENTS 
WORK ENVIRONMENT 
  
  
  
Functional Demands:    
 
 
 
 
Sedentary
x 
Light
 
Medium
Other
 
 
Activity Level Throughout Workday (check one per row) 
Physical Activity Requirements
Occasional
(0-35% of day)
Frequent
(33-66% of day)
Continuous
(67-100% of day)
Not Applicable
Sitting
 
 
x 
 
Standing
 
x 
 
 
Walking
x 
 
 
 
Climbing
 
 
 

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