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Manager Data Engineering Jobs in Ontario (NOW HIRING)

GEI Consultants

Data Engineer

Kitchener, ON

CA$90K - CA$150K/yr

This includes building ingestion pipelines, managing data stores, implementing quality and ... Minimum Qualifications * 4+ years of data engineering experience, with demonstrated ability to ...

GEI Consultants

Data Engineer

Concord, ON · On-site

CA$90K - CA$150K/yr

This includes building ingestion pipelines, managing data stores, implementing quality and ... Minimum Qualifications * 4+ years of data engineering experience, with demonstrated ability to ...

Td

Data Engineer II

Toronto, ON · On-site

CA$81K - CA$115K/yr

Raise service-now requests and work with the change management team to support release management activities * Lead data engineering initiatives and capabilities, data governance principles and how ...

GEI Consultants

Data Engineer

Markham, ON · On-site

CA$90K - CA$150K/yr

This includes building ingestion pipelines, managing data stores, implementing quality and ... Minimum Qualifications * 4+ years of data engineering experience, with demonstrated ability to ...

GEI Consultants

Data Engineer

Guelph, ON

CA$90K - CA$150K/yr

This includes building ingestion pipelines, managing data stores, implementing quality and ... Minimum Qualifications * 4+ years of data engineering experience, with demonstrated ability to ...

Capital One

Manager, Data Science

Toronto, ON · Hybrid

CA$173K - CA$197K/yr

At least 5 years of experience in open source programming languages for large scale data analysis ... managers, business interviewers, and recruitment professionals. Our teams are equipped with ...

Nasdaq

Lead Data Engineer

Toronto, ON · Hybrid

CA$106K - CA$148K/yr

... Engineering, you'll play a critical role in designing, building, and scaling the data ... Write and manage distributed data pipelines supporting both real-time and batch processing across ...

Scotiabank

Manager Data & Analytics

Toronto, ON · On-site

The Manager, Data and Analytics, Retail Credit Risk, GRM will be responsible for monitoring and ... University degree in Business, Engineering, Commerce, Mathematics, or related quantitative ...

Fluent, LLC

Data Engineer (Databricks)

Toronto, ON · On-site +1

Majority of the role will be data engineering: tables, views, jobs/pipelines, and orchestration ... In addition we offer a fully stocked kitchen, catered breakfast and lunch, and our office manager ...

OSL Retail Services Inc

Data Engineer

Mississauga, ON · On-site

We are seeking a Data Engineer Reporting to the Manager, Data Systems, the Data Engineer is responsible for developing and maintaining business intelligence solutions, crafting, and executing queries ...

Deloitte

Master Data Management - Manager

Toronto, ON · Hybrid

As a Manager and Senior Architect, you will help set the direction for the MDM and Data Engineering discipline, contributing to national capability plans, alliance strategy (Informatica, TIBCO ...

BMO Capital Markets

Principal Data Engineer

Toronto, ON · On-site

CA$94K - CA$176K/yr

Identifies ways to manage data across a diverse but unified data tier. Plans and supports the ... Data architecture design and modeling, AI Engineering, Data Engineering * Hands-on Coding (Python ...

Klick Health

Data Engineer

Toronto, ON · Hybrid

Consistently named a Best Managed Company, Most Admired Corporate Culture, and Great Place to Work ... The focus is on engineering rigor, platform performance, and delivering the data foundation that ...

Sun Life Financial

Senior Data Engineer

Waterloo, ON · On-site

Reporting to the Manager of Data Engineering, the Senior Business Data Engineer will be a key member of Data Enablement Team responsible for building enriched data products that provide deep insights ...

Sun Life Financial

Senior Data Engineer

Toronto, ON · On-site

Reporting to the Manager of Data Engineering, the Senior Business Data Engineer will be a key member of Data Enablement Team responsible for building enriched data products that provide deep insights ...

Sun Life Financial

Senior Data Engineer

Waterloo, ON · On-site

Reporting to the Manager of Data Engineering, the Senior Business Data Engineer will be a key member of Data Enablement Team responsible for building enriched data products that provide deep insights ...

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All JobsData Engineering JobsManager Data Engineering JobsManager Data Engineering Jobs in Ontario

Manager Data Engineering information

What are the roles and responsibilities of a manager data engineering?

A Manager Data Engineering oversees teams that design, build, and maintain data infrastructure and pipelines for organizations. They are responsible for ensuring the efficient flow and storage of data, implementing best practices in data management, and collaborating with stakeholders to meet business data needs. Additionally, they mentor and guide data engineers, manage project timelines, and ensure data security and quality standards are met. Their role often involves strategic planning to enable data-driven decision making across the company.

What are the key skills and qualifications needed to thrive as a manager data engineering?

To thrive as a Manager Data Engineering, you need expertise in data architecture, advanced analytics, and leadership, typically supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), data warehousing systems, cloud platforms (AWS, Azure), and certifications such as AWS Certified Data Analytics are highly valued. Strong communication, problem-solving, and team management skills help drive project success and foster collaboration. These skills ensure effective data solutions, alignment with business goals, and the ability to lead and grow high-performing engineering teams.

How does a manager data engineering typically collaborate with data scientists and business stakeholders?

A Manager of Data Engineering often serves as a bridge between technical teams and business stakeholders. They work closely with data scientists to ensure that data pipelines and infrastructure meet analytical needs, while also translating business requirements into actionable engineering solutions. Regular coordination meetings, clear documentation, and cross-functional projects are common, enabling seamless collaboration and alignment on goals. This role requires strong communication skills and the ability to balance technical priorities with business objectives.

What is the difference between Manager Data Engineering vs Data Engineer?

AspectManager Data EngineeringData Engineer
Required CredentialsBachelor's or Master's in CS, Data Science, or related; often leadership experienceBachelor's or higher in CS, IT, or related; technical certifications optional
Work EnvironmentTeam leadership, project management, strategic planningData pipeline development, coding, data modeling
Employer & Industry UsageTech companies, finance, healthcare, where data teams are commonData-focused roles across various industries

The main difference is that Manager Data Engineering oversees data teams and projects, focusing on strategy and leadership, while Data Engineers handle the technical implementation of data pipelines and infrastructure. Managers typically have more experience and leadership skills, whereas Data Engineers are more hands-on with coding and data architecture.

What are the most commonly searched types of Data Engineering jobs in Ontario?

The most popular types of Data Engineering jobs in Ontario are:

What are popular job titles related to Manager Data Engineering jobs in Ontario?

For Manager Data Engineering jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Manager Data Engineering jobs in Ontario look for?

The top searched job categories for Manager Data Engineering jobs in Ontario are:

What cities in Ontario are hiring for Manager Data Engineering jobs?

Cities in Ontario with the most Manager Data Engineering job openings:

Manager Data Engineering jobs near you
Infographic showing various Manager Data Engineering job openings in Ontario as of August 2026, with employment types broken down into 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution.

Data Engineer

GEI Consultants

Kitchener, ON

CA$90K - CA$150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 29 days ago

GEI Consultants rating

7.6

Company rating: 7.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

284th of 452 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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