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Manager Data Analytics Engineer Jobs in Brampton, ON

You will design the company's data architecture, build pipelines and analytical models, and create ... Work with data engineering to ensure reliable pipelines and data availability * Unify data across ...

Ensures solutions align with data management principles, technology strategy, and governance ... Supports structured analysis and issue resolution by enabling accessible, well designed data assets ...

TravelIQ provides real-time traveller information and traffic event management, helping customers ... You will build the analytics data layer on the Arcadis Data Platform (Microsoft Fabric), combining ...

TravelIQ provides real-time traveller information and traffic event management, helping customers ... You will build the analytics data layer on the Arcadis Data Platform (Microsoft Fabric), combining ...

Experienced in data product management, data analysis, data governance and / or data engineering within a banking or financial services environment, with a focus on translating business requirements ...

Partner with data engineering to align ingestion, schema design, and architecture with analytics ... Drive schema change management (versioning, backward compatibility, stakeholder communication)

Senior Analytics Engineer

Toronto, ON · On-site

CA$100K - CA$105K/yr

Join Avison Young's Data Architecture team as a Senior Analytics Engineer , where you will own and ... Build and manage dbt projects , including models, tests, documentation, and lineage * Design ...

Senior Analytics Engineer

Toronto, ON · On-site

CA$100K - CA$105K/yr

Overview Join Avison Young's Data Architecture team as a Senior Analytics Engineer , where you will ... Build and manage dbt projects , including models, tests, documentation, and lineage * Design ...

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 ...

Showing results 21-40

Manager Data Analytics Engineer information

What is a manager data analytics engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.

How does a manager data analytics engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

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

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

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

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

What are the most commonly searched types of Data Analytics Engineer jobs in Brampton, ON?

The most popular types of Data Analytics Engineer jobs in Brampton, ON are:

What are popular job titles related to Manager Data Analytics Engineer jobs in Brampton, ON?

For Manager Data Analytics Engineer jobs in Brampton, ON, the most frequently searched job titles are:

What job categories do people searching Manager Data Analytics Engineer jobs in Brampton, ON look for?

The top searched job categories for Manager Data Analytics Engineer jobs in Brampton, ON are:

Infographic showing various Manager Data Analytics Engineer job openings in Brampton, ON as of July 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution.

2027 Wealth Management, Winter Data Analyst (4-16 months)

Royal Bank of Canada

Toronto, ON • On-site

Full-time

Posted 12 days ago


Key responsibilities

  • Assist in the development and delivery of data product solutions, including building, customizing, and managing data pipelines, data integration tools, databases, data warehouses, and analytical systems.

  • Lead efforts to ensure data quality in the CRM system and review data quality monitors daily to address issues with data stakeholders.

  • Support testing requirements for data products and services, including testing automation, and collaborate on the development and execution of strategic initiatives using the software development life cycle.


Job description

Job Description

RBC Wealth Management is a part of Royal Bank of Canada ("RBC"), one of the largest providers of financial services in the world.RBC Wealth Management Canada is comprised of six complementary lines of business which are supported by over 250 wealth professionals through our RBC Family Office Services team. Together, we provide our clients an unmatched experience.

Your application will be reviewed for consideration across multiple roles within the following areas:

RBC Dominion Securities

RBC PH&N Investment Counsel

RBC Royal Trust

RBC Private Banking

RBC Wealth Management Financial Services

RBC Global Asset Management

What is the opportunity?

We are seeking winter co-ops across several Data Analyst roles (including but not limited to the following: Data Analysts, Analytics Engineer, Data Team Co-Op, Data Engineer, Advisor Sales Analyst) to join the RBC Wealth Management Team. If you are passionate to learn about data engineering and data products delivery practices, please read on.

What will you do?

  • Assist in the development and delivery of data product solutions including building, customizing, and management of data pipelines, data integration tools, databases, data warehouses, and analytical systems.
  • Lead "data hygiene" effort in on our CRM system to ensure accurate quality data.
  • Develop and maintain data pipelines for extracting, transforming, and loading data across SQL Server, SAS, and Snowflake.
  • Write efficient SQL queries and Python scripts to automate workflows and ensure data quality.
  • Use in-house applications to process trades and monitor settlement workflows. Leverage tools such as Eagle, Charles River, Bloomberg, and Excel for data analysis and reporting.
  • Support testing requirements for data products and services including testing automation.
  • Support the development and execution of strategic initiatives in collaboration with internal and external stakeholders using our software development life cycle (SDLC)
  • Design, develop, implement, and support our emerging big data analytics capabilities through the development and maintenance of advanced data ingestion, processing, modeling and reporting capabilities.
  • Process security, product and employee set up on Eagle system.
  • Collaborate with engineers, analysts, and AI practitioners to prepare high-quality data for advanced analytics and business use cases.
  • Review data quality monitors daily and address data quality issues with data stakeholders.
  • Analyze data and data workflows to improve data quality.
  • Work with cloud platforms (AWS, Azure, GCP) to deploy and manage data infrastructure.

What do you need to succeed?

Must have:

  • Have a strong quantitative background, a degree in math/statistics/computer science/engineering would be a plus
  • Experience working with SQL and large data sets and knowledge of AWS, cloud computing, or similar storage solutions
  • Manipulate, organize and retrieve data using formulas and logic functions (particularly vlookups).
  • Familiar with Kubernetes, Docker and containerization technologies and strong Unix/Linux/Bash scripting skills
  • Experience working with DevOps CI/CD pipelines and automated testing.
  • Experience working within professional software engineering practices for the full software development life cycle, including coding standards, code reviews, source code management, build processes and testing.
  • Desire to learn data capabilities such as data management, data governance, data mastering, data quality, data literacy, etc.
  • Curiosity and willingness to learn about AI/ML and how data engineering supports it.
  • Desire to learn data business intelligence tools (e.g. Excel, Tableau)

Nice to have:

  • Exposure to Snowflake or cloud data platforms.
  • Basic understanding of AI/ML workflows (e.g., data preparation, model input/output).
  • Must be a self-starter, with strong analytical and problem-solving skills
  • Ability to work in teams and collaborate effectively with people in different functional areas
  • Excellent interpersonal and highly developed communication skills (verbal and written)

Please note:

Tobe eligible for these student positions, you must either:

  • Bereturningto school after the work term end-date; or
  • If you are not returning to school (i.e.are graduating immediately after the work term), you must require the full work term as a mandatory component to graduate successfully

What's in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

  • Leaders who support your development through coaching and managing opportunities
  • Ability to make a difference and lasting impact
  • Work in a dynamic, collaborative, progressive, and high-performing team
  • A world-class training program in financial service

Job Skills

Communication, Computer Literacy, Detail-Oriented, Interpersonal Relationships, Listening Effectively, Personal Development, Personal Initiative

Additional Job Details

Address:

RBC CENTRE, 155 WELLINGTON ST W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

WEALTH MANAGEMENT

Job Type:

Student/Coop (Fixed Term)

Pay Type:

Salaried

Posted Date:

2026-08-24

Application Deadline:

2026-09-21

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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Employment Type: FULL_TIME