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Manager Data Engineering Jobs in Ontario (NOW HIRING)

Ensures solutions align with data management principles, technology strategy, and governance ... Proactively recommends and executes improvements to engineering practices, tooling, and delivery ...

Manager, Data Architect

Toronto, ON · On-site

CA$90K - CA$105K/yr

The Manager, Data Architect is accountable for the end-to-end architecture, technical direction ... Qualifications * 5+ years in data engineering, analytics engineering, BI architecture, or related ...

Data Platform Engineering Manager

Toronto, ON · On-site

CA$115K - CA$163K/yr

The Data Platform Engineering Manager role is responsible for designing, building, and operating the enterprise technology reference data platform that serves as the foundation for technology ...

Build and optimise data pipelines using Azure cloud services, Databricks, Spark, Unity Catalog, dbt, and related data engineering tools. * Work with stakeholders, product managers, architects, and ...

Purpose The Manager, Data Products serves as a Corporate Banking, Lending, and Deposits Data Lead ... Collaborate with engineers, architects, modelers, platform teams, Data Stewards, and Data Owners to ...

Lead, Data Engineer

Mississauga, ON · On-site +1

CA$122K - CA$162K/yr

Define and uphold engineering standards, patterns, and best practices aligned with enterprise data ... Partner with Product Managers, Data Scientists, Analysts, and business stakeholders to translate ...

Data Engineering Consultant

Toronto, ON · On-site

CA$95K - CA$120K/yr

Netlight has been awarded several times for profitable growth and management, as a top employer ... We build solutions across diverse domains - backend, frontend, cloud, mobile, data engineering ...

Lead, Data Engineer

Mississauga, ON · On-site +1

CA$122K - CA$162K/yr

Define and uphold engineering standards, patterns, and best practices aligned with enterprise data ... Partner with Product Managers, Data Scientists, Analysts, and business stakeholders to translate ...

Sr Data Engineer, Specialist

Toronto, ON · On-site

CA$90K - CA$140K/yr

... M integrations, ETF/MF data pipelines, and other enterprise analytics assets. This is a senior ... Data Engineering & Architecture: * Design, build, and optimize scalable, secure, and repeatable ...

New

Lead, Data Engineer

Mississauga, ON · Remote

CA$122K - CA$162K/yr

Define and uphold engineering standards, patterns, and best practices aligned with enterprise data ... Partner with Product Managers, Data Scientists, Analysts, and business stakeholders to translate ...

Data Engineer III

Toronto, ON · On-site

CA$125K - CA$154K/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 ...

Data Engineer III

Toronto, ON · On-site

CA$125K - CA$154K/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 ...

Showing results 21-40

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 cities in Ontario are hiring for Manager Data Engineering jobs?

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

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.

Manager, Data Engineer

Scotiabank

Toronto, ON • On-site

Full-time

Re-posted 24 days ago


Job description

Requisition ID: 257694 
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

The Role:

Contributes to the overall success of the CBO Performance Enablement department by ensuring individual goals, plans, and initiatives are executed and delivered in support of the team's business strategies and objectives. Responsible for supporting the end to end data development and enablement lifecycle, including sourcing and transforming data, building and maintaining reliable data solutions that enable reporting and performance insights, and supporting the underlying data platforms and infrastructure. Ensures all activities are conducted in compliance with governing regulations, internal policies, and established standards and procedures.

Is this role right for you? In this role you will:

  • Champions a customer-focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
  • Designs, builds, and maintains scalable data architectures and data pipelines using SQL Server (on premise and private cloud) to support periodic data integration, transformation, validation, and enablement of operational and performance reporting. Ensures solutions align with data management principles, technology strategy, and governance standards.
  • Works in an Agile environment, adapting quickly to evolving business and technical requirements, tight timelines, and competing priorities. Supports data driven decision making by enabling timely, well structured, and trusted data for downstream analytics and reporting teams.
  • Identifies opportunities to automate manual and repetitive data processes, driving continuous improvement in efficiency, reliability, and maintainability through the effective use of tools, standards, and engineering best practices.
  • Applies iterative development practices across all phases of data solution delivery, including data profiling, ingestion, transformation, modeling, cleansing, conforming, enrichment, and aggregation, establishing a strong foundation for downstream reporting and performance insights (limited direct visualization work).
  • Ensures the availability, reliability, and integrity of data products through monitoring, controls, and support processes. Builds strong partnerships with enterprise architecture, infrastructure, application, and technology teams to meet performance, availability, and support expectations.
  • Supports structured analysis and issue resolution by enabling accessible, well designed data assets and participating in root-cause analysis, triage, and remediation of data quality or pipeline failures.
  • Proactively recommends and executes improvements to engineering practices, tooling, and delivery approaches to enhance operational efficiency, solution quality, and long term sustainability of data platforms.
  • Understands how the Bank's risk appetite and risk culture should be considered in day-to-day activities and decisions. Actively pursues effective and efficient operations of his/her/their respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct. 

Do you have the skills that will enable you to succeed in this role?  We'd love to work with you if you have:   

  • University degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • 3+ years of hands-on experience in data engineering, business intelligence, or analytics engineering roles, supporting reporting and performance enablement use cases.
  • Strong experience designing, developing, and maintaining data solutions using Microsoft SQL Server in on premise and private cloud environments.
  • Proven experience with ETL / data integration development using SQL Server Integration Services (SSIS) and Azure Data Factory (ADF) to support scheduled, reliable, and scalable data pipelines. 
  • Experience working with Power BI, including developing and supporting semantic models, datasets, and reports in collaboration with analytics and business stakeholders. 
  • Solid understanding of dimensional and relational data modelling, data quality checks, data validation, and performance optimization.
  • Experience developing and supporting SQL Server Reporting Services (SSRS) and SQL Server Analysis Services (SSAS) solutions is required.
  • Comfortable working across the end to end data lifecycle, including data sourcing, transformation, validation, and enablement of downstream reporting and analytics. 
  • Experience supporting production data processes, including monitoring, issue triage, root-cause analysis, and implementation of controls and guardrails to ensure data reliability.
  • Exposure to Python and related data libraries is considered an asset.

What's in it for you?

  • A rewarding career path with diverse opportunities for professional development
  • A culture that promotes teamwork and cross-functional collaboration to achieve business goals. Inclusive workplace that values diversity of thought, background, and experience
  • A competitive compensation and benefits package
  • Opportunity to work with a very enthusiastic team that helps our clients by ensuring the Bank is able to continue to operate to deliver key business services.
  • Hybrid working environment allowing for work/life balance

Location(s):  Canada : Ontario : Toronto 
Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.  
At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our  Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.