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Data Engineer Data Analyst Jobs in Toronto, ON (NOW HIRING)

GEI Consultants

Data Engineer

Markham, ON

CA$90K - CA$150K/yr

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 ...

Lyft

Data Engineer

Toronto, ON · On-site

Your efforts will allow access to business and user behavior insights, using huge amounts of Lyft data to fuel several teams such as Analytics, Data Science, Engineering, and many others.

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Engineering Manager, Data AI & Analytics

Toronto, ON · Hybrid

CA$102K - CA$137K/yr

The Data Engineer Manager partners closely with data architects, analytics teams, and business stakeholders to support enterprise-wide, data-driven decision-making. What you'll be doing. * Lead Data ...

BMO Capital Markets

Lead Data Engineer

Toronto, ON · On-site

CA$75K - CA$141K/yr

Data Analytics & Reporting We are seeking a Lead Data Engineer with strong ETL and Application expertise to lead the enhancement of existing ETL applications and design modern ETL/ELT pipelines as ...

TMX Group

Data Engineer

Toronto, ON · Hybrid

Senior Manager, Data & Analytics & Enterprise Data Architect * Job Location: Hybrid (2-3 days in ... Engineering Excellence: Adhere to development best practices, ensuring meticulous code management ...

Lakeview Loan Servicing

Data Engineer

Toronto, ON · Remote

CA$140K - CA$190K/yr

Overview The Data Engineer on the Nebula team plays a critical role in building and evolving the ... In parallel, this individual will help enable downstream analytics, reporting, product capabilities ...

Tiger Analytics Inc.

GenAI Data Engineer

Toronto, ON · Remote

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep ... As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines ...

Carter's

Data Analyst

Mississauga, ON · On-site

Data Analyst Serving the needs of all families with young children, Carter's Inc. is the largest North American apparel retailer exclusively for babies and young children, encompassing Carter ...

Tiger Analytics Inc.

GenAI Data Engineer

Toronto, ON · On-site

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep ... As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines ...

Scotiabank

Data Engineer

Toronto, ON

Perform data profiling, quality checks, and root-cause analysis to improve data reliability ... Strong programming skills in Python, with experience in Java or Scala considered an asset.

StarTech.com

Data Analyst

Toronto, ON · On-site +1

London, ON | Hybrid/Remote | StarTech.com StarTech.com is continuing to grow our Data Analytics team and we are looking for a Data Analyst who is passionate about turning data into actionable ...

Zafin

Data Engineer

Toronto, ON

CA$85K - CA$135K/yr

We are seeking a highly skilled Data Engineer II to design, build, and scale robust data platforms that power analytics and product use cases. This role requires strong ownership in developing data ...

The Canada Life Assurance Company

Data Analyst

Toronto, ON · On-site

CA$54K - CA$104K/yr

In addition, the Data Analyst will build and evolve analytical reporting using Power BI, Excel, and SQL. By digging into performance results, identifying key trends, and translating complex data into ...

Td

Data Engineer II

Toronto, ON

CA$81K - CA$115K/yr

Elicit, analyze, and understand business and data requirements to develop complete business ... Lead data engineering initiatives and capabilities, data governance principles and how they apply ...

Td

Data Engineer II

Toronto, ON · On-site

CA$81K - CA$115K/yr

Elicit, analyze, and understand business and data requirements to develop complete business ... Lead data engineering initiatives and capabilities, data governance principles and how they apply ...

Pelmorex

Data Engineer

Oakville, ON · On-site

To support this mission, we're growing our Engineering Insights team and investing in a scalable data analytics and insights platform. We're looking for a Data Engineer who enjoys building reliable ...

Ellisdon

Data Analyst

Mississauga, ON · On-site

CA$75K - CA$90K/yr

You as a Data Analyst will: * Elicit, analyze, specify, and validate the business needs of internal and external stakeholders; * Leverage your: knowledge of statistical/mathematical methods ...

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All JobsData Engineer Data Analyst JobsData Engineer Data Analyst Jobs in Toronto, ON

Data Engineer Data Analyst information

How do data engineer data analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

What are the key skills and qualifications needed to thrive as a data engineer data analyst, and why are they important?

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

What is the difference between Data Engineer Data Analyst vs Data Scientist?

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

What are popular job titles related to Data Engineer Data Analyst jobs in Toronto, ON? For Data Engineer Data Analyst jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Data Engineer Data Analyst jobs in Toronto, ON look for? The top searched job categories for Data Engineer Data Analyst jobs in Toronto, ON are:
What cities near Toronto, ON are hiring for Data Engineer Data Analyst jobs? Cities near Toronto, ON with the most Data Engineer Data Analyst job openings:
Data Engineer Data Analyst jobs near you
Infographic showing various Data Engineer Data Analyst job openings in Toronto, ON as of August 2026, with employment types broken down into 76% Full Time, and 24% Contract. Highlights an 82% In-person, 7% Hybrid, and 11% Remote job distribution.

Data Engineer

GEI Consultants

Markham, ON

CA$90K - CA$150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago

GEI Consultants rating

7.6

Company rating: 7.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

275th of 446 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
 
 
 
x 
Lifting (floor to waist level) (in pounds)
x 
 
 
 
Lifting (waist level and above) (in pounds)
x 
 
 
 
Carrying objects
x 
 
 
 
Push/pull
x 
 
 
 
Twisting
x 
 
 
 
Bending
x 
 
 
 
Reaching forward
x 
 
 
 
Reaching overhead
x 
 
 
 
Squat/kneel/crawl
x 
 
 
 
Wrist position deviation
 
x 
 
 
Pinching/fine motor skills
x 
 
 
 
Keyboard use/repetitive motion
 
 
x 
 
Taste or smell (taste=never)
 
 
 
x 
Talk or hear
 
 
x 
 
Accurate 20/40 
Very Accurate 20/20 
Not Applicable
Near Vision
 
x 
Far Vision
 
x 

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