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Manager Data Engineering Jobs in Ontario (NOW HIRING)

Moneris

Manager, Data Engineering

Toronto, ON · Hybrid

CA$160K/yr

Your Moneris Career - The Opportunity Manager, Data Engineering I Lead the data engineering function, delivering reliable, scalable, and secure data platforms and pipelines that power Moneris ...

JLL

Senior Manager, Data Engineering

Toronto, ON · On-site

Senior Manager, Data Engineering - JLLT What this job involves: We are seeking an experienced Senior Manager, Data Engineering, to lead the Enterprise Platform Data Engineering team at JLL ...

Moneris

Senior Manager, Data Engineering

Toronto, ON · Hybrid

CA$142K - CA$177K/yr

Your Moneris Career - The Opportunity As the Senior Manager, Data Engineering, you will lead the data engineering function responsible for delivering reliable, scalable, and secure data platforms ...

Takeaway

Senior Manager - Data Engineering

Toronto, ON · On-site +1

CA$120K - CA$160K/yr

As Senior Manager, Data Engineering, you'll lead a team of data and analytics engineers, plus a contractor pod, building the platforms and consumption layer that power decisions, ML and customer ...

Generac

Senior Manager, Data Engineering

Toronto, ON · Hybrid

Who You Will Be Joining As a Senior Engineering Manager in Data Engineering, you will lead a team of data engineers to build out our next generation Data Platform. With their support, you'll be ...

TELUS

Manager, Data & AI Transformations

Toronto, ON · On-site

CA$109K - CA$155K/yr

What you'll do The Manager, Data & AI Transformations will lead a team of developers and analysts to achieve our Agentic AI transformation and automation. This role requires collaboration with ...

TELUS

Manager, Data & AI Transformations

Toronto, ON · Hybrid

$109K - $155K/yr

What you'll do The Manager, Data & AI Transformations will lead a team of developers and analysts to achieve our Agentic AI transformation and automation. This role requires collaboration with ...

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Engineering Manager, Data AI & Analytics

Toronto, ON · Hybrid

CA$102K - CA$137K/yr

Engineering Manager, Data AI & Analytics Position Type: Regular - Full-Time Grade: Grade 06 Requisition ID: 42289 In every role, McCainers are ambitious, curious, and passionate about creating ...

Ci

Manager, Data Operations

Toronto, ON

You will lead a team of Data Operations engineers and developers, establish operational standards ... Enforce change management and release controls for production data systems. * Ensure high ...

Cogeco

Specialist, Data Engineering

Burlington, ON · On-site

Reporting to the Lead Data Engineering, the Data Engineering Specialist is responsible for ... Utilize Collibra or similar platforms to manage data catalogs, business glossaries, and data ...

McKesson

Director Data Engineering

Mississauga, ON · On-site

This role involves setting the technical vision, managing high-performing teams, and aligning data ... Establish data engineering standards, best practices, and governance frameworks across the ...

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

Manager Data Engineering information

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 key skills and qualifications needed to thrive as a Manager Data Engineering, and why are they important?

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.

What are Manager Data Engineering roles and responsibilities?

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.

How does a Manager of 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 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 July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Manager, Data Engineering

Manager, Data Engineering

Moneris

Toronto, ON • Hybrid

CA$160K/yr

Full-time

Posted 11 days ago

Job description

Your Moneris Career - The Opportunity

Manager, Data Engineering I

Lead the data engineering function, delivering reliable, scalable, and secure data platforms and pipelines that power Moneris' business, operational, and analytics needs.

This role owns execution of the data platform roadmap, including the Snowflake migration and modernization of legacy Enterprise Data Warehouse (EDW) systems, while partnering with architecture, governance, security, and product stakeholders to implement enterprise data capabilities. You will build and coach a high-performing engineering team across onshore and offshore operations, embedding MLOps and DataOps practices, CI/CD, and Infrastructure as Code (IaC) to accelerate delivery. Success is measured by platform reliability, engineering excellence, sustained compliance with PCI DSS and data quality standards, and adoption of data solutions across the enterprise.

Location: You will be based in our Toronto office, balancing in-office collaboration with remote flexibility.

Reporting Relationship: You will report to the Director, Data Engineering

Posting Type: Replacement Position

Salary Range: The expected base salary range for this role is 124,000 - $160,000.

Total compensation may also include variable or discretionary incentive components, including but not limited to bonuses and commissions. Individual job offers are determined by various factors, including experience, education, skills, certifications, and other business needs.

Your Moneris Career - What you'll do

  • Lead the data engineering function, providing direction, coaching, and people leadership to build a high-performing team.

  • Drive Snowflake migration and modernization of legacy Enterprise Data Warehouse (EDW) systems.

  • Manage onshore and offshore support and data operations teams for reliable delivery and operational efficiency.

  • Oversee design, build, and operation of scalable, secure batch and real-time data solutions across cloud environments.

  • Establish engineering standards, MLOps/DataOps pipelines, CI/CD, and automated testing and data quality frameworks.

  • Enforce PCI DSS, security, coding standards, version control, deployment automation, and Infrastructure as Code (IaC) practices.

  • Partner with architecture, governance, security, and product stakeholders to deliver enterprise data capabilities aligned to standards.

  • Monitor platform health, optimize cost and performance, and lead delivery planning, prioritization, and stakeholder communication.

Your Moneris Career - What you bring

  • University degree in Computer Science, Engineering, or a related discipline; equivalent experience considered.

  • 7+ years of progressive experience in data engineering and data platform delivery, including leading teams on large-scale enterprise solutions.

  • Hands-on expertise with modern data platforms (Snowflake, Databricks, DBT), data lakes, warehouses, and streaming technologies.

  • Proficiency with SQL, NoSQL, and distributed data processing frameworks on cloud platforms (AWS, Azure, or GCP).

  • Programming and scripting proficiency in Python, Scala, or Java.

  • Demonstrated people leadership with the ability to coach, develop, and retain high-performing engineering teams.

  • Strong stakeholder management, problem-solving, and communication skills across technical and business audiences.

  • #LI-Hybrid

  • #TECH-IND

Note: We welcome and encourage applications from Indigenous peoples, people of colour, people with disabilities, people of all genders, sexual orientation and intersectional identities.

AI Disclosure: We may use AI-enabled tools to screen, select, and assess applications. All AI outputs are reviewed and validated by our recruitment team.

We acknowledge that people from equity-deserving groups (including racialized individuals, women, gender diverse individuals, individuals with disabilities, neurodivergent individuals, members of 2SLGBTQIA+ communities and those born outside of Canada) are less likely to apply for jobs unless they feel they meet all the requirements posted. At Moneris, we believe candidates bring experience to their work in many ways. We encourage you to apply and share, in the application form, the transferrable experience you bring, and how this will support your success in this role.

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