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Data Associate Jobs in Brampton, ON (NOW HIRING)

Data Analyst Associate or similar) 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 ...

Collaborate with data developers, Research Associates, and Technical Leads to translate data product methodology into reliable, repeatable code. * Present design approaches before building, validate ...

Data Developer III

Mississauga, ON · On-site

CA$91K - CA$126K/yr

This role is responsible for enabling data-driven business solutions through analytics, data ... Demonstrates and encourages respect for others; drives a positive associate and customer experience ...

We hire individuals for the Associate position who have two to four years work experience ... Data Search and Interpretation - Persistent and resourceful in finding industry and company ...

Senior Engineer, Data

Brampton, ON · On-site

CA$120K - CA$140K/yr

This role ensures data is reliable, accurate, and accessible for business users, analysts, and ... Associate Discount Program where you will be able to enjoy some of the world's best sleep products

Showing results 41-60

Data Associate information

See Brampton, ON salary details

$13

$22

$33

How much do data associate jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for data associate in Brampton, ON is $22.38, according to ZipRecruiter salary data. Most workers in this role earn between $17.95 and $26.70 per hour, depending on experience, location, and employer.

What is a data associate?

Data Associates are professionals who collect, manage, process, and ensure the quality of data within an organization. They often work with databases, spreadsheets, and software tools to organize and validate data, making it accessible and accurate for analysis and reporting. Data Associates may also assist with data entry, cleaning, and basic analysis tasks, supporting teams like data analysts or data scientists. Their work is crucial for maintaining reliable information that drives business decisions.

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

To thrive as a Data Associate, you need strong analytical skills, attention to detail, and a solid foundation in data management or statistics, often supported by a bachelor's degree in a related field. Familiarity with data analysis tools such as Excel, SQL, and sometimes Python or data visualization software is commonly required. Excellent organization, problem-solving abilities, and effective communication help individuals stand out in this role. These skills ensure accurate data handling, reliable reporting, and clear collaboration across teams, which are critical for data-driven decision-making.

How does a data associate typically collaborate with other teams within an organization?

Data Associates frequently work alongside analysts, engineers, and business stakeholders to ensure data accuracy and accessibility. They may be responsible for gathering data from various sources, cleaning datasets, and supporting the data needs of other departments. Effective communication and teamwork are essential, as Data Associates often receive requests for reports or data updates and must coordinate with technical and non-technical colleagues to deliver actionable insights. This collaborative environment helps Data Associates learn about different business functions and can open doors for career growth.

What is the difference between Data Associate vs Data Analyst?

AspectData AssociateData Analyst
Required CredentialsBachelor's degree in related field, basic data handling skillsBachelor's or higher, often with specialized training in data analysis or statistics
Work EnvironmentData entry, data cleaning, supporting data management teamsAnalyzing data, creating reports, interpreting data trends
Employer & Industry UsageCommon in healthcare, finance, and tech companies for data support rolesUsed across industries for data-driven decision making

Data Associates focus on data entry, cleaning, and supporting data management tasks, often requiring basic technical skills. Data Analysts perform deeper analysis, interpret data, and generate insights, typically needing more advanced analytical skills. Both roles are essential in data-driven organizations but differ in complexity and responsibilities.

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

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

What are popular job titles related to Data Associate jobs in Brampton, ON?

For Data Associate jobs in Brampton, ON, the most frequently searched job titles are:

What job categories do people searching Data Associate jobs in Brampton, ON look for?

The top searched job categories for Data Associate jobs in Brampton, ON are:

What cities near Brampton, ON are hiring for Data Associate jobs?

Cities near Brampton, ON with the most Data Associate job openings:

Infographic showing various Data Associate job openings in Brampton, ON as of August 2026, with employment types broken down into 97% Full Time, and 3% Part Time. Highlights an 61% In-person, 36% Hybrid, and 3% Remote job distribution, with an average salary of $46,544 per year, or $22.4 per hour.

Full-time

Posted 9 days ago


Key responsibilities

  • Design, implement, and support enterprise data architecture, including data sourcing, transformation, storage, and governance.

  • Build and manage real-time data pipelines, optimize Azure Databricks clusters and workspace, and support data integration with cloud platforms.

  • Optimize Power BI reporting infrastructure, establish workspace governance, and support self-service analytics across the organization.


Job description

Job Description

What is the opportunity?

As Lead Data Engineer in Investor & Treasury Services Data Engineering team within Technology and operations office, you will design, implement, and support enterprise data architecture best practices and processes across the global Investor and Treasury Services organization, aligning with corporate vision. We seek a strategic thinker and passionate data management leader to drive data strategy execution, including Azure Databricks infrastructure management , Power BI optimization, analytics administration, workspace governance, and reporting infrastructure to enable self-service analytics at scale.

As a member of a dynamic, fast-paced team, this role demands strong data architecture and engineering expertise, advanced analytics platform leadership, exceptional communication skills, strong work ethic, and demonstrated ability to multitask effectively in changing environments.

What Will You Do?

This role encompasses end-to-end system oversight from data sourcing, lineage, transformation, and storage through Azure Databricks governance and Power BI analytics optimization to support complex advanced analytics and data governance needs, requiring extensive collaboration with Business Architecture, System Architecture, Business SMEs, and Data Stewards.

  • Build real-time data pipelines (inbound, outbound) through container-based solutions and Azure Databricks

  • Integrate data with cloud-based platforms; publish data through APIs and Portal

  • Manage Azure Databricks clusters, compute resources, and workspace optimization for scalable data processing

  • Optimize Power BI reporting infrastructure, semantic models, and dashboard performance across the organization

  • Establish Power BI administration best practices, workspace governance frameworks, and user access management

  • Manage analytics workspaces, capacity planning, and optimization to support enterprise self-service analytics

  • Participate in data curation requirements; support data and digital needs of business and technology stakeholders

  • Evaluate current state of data access control (authentication, authorization, encryption) across I&TS systems; develop and support remediation strategies

  • Work in agile teams with Data Engineers, Developers, and RBC business stakeholders

  • Collaborate with data scientists, process engineers, and business stakeholders on requirement gathering; assist with prescriptive and predictive analytics through consolidated data pipelines leveraging Azure Databricks

What you need to succeed

Must Have:

  • 7+ years of experience in data engineering with at least 5 years of hands-on experience in system integration, data and cloud architecture, and technologies listed below:

    • Data Engineering: Python, Kafka, MS SQL Server, Elasticsearch stack,Azure Databricks

    • Cloud and Containers: Azure (ADLS2,Azure Databricks), OpenShift, Docker

    • SQL/Database: Microsoft SQL Server, Azure SQL, Stored procedures

    • API: Node.JS, Apigee

    • Power BI & Analytics: Power BI (report development, semantic modeling, workspace administration, capacity management),DAX, Power Query

    • Security frameworks: LDAP, Kerberos, OAuth 2.0, Vault integration

  • Strong knowledge of algorithms and data structures

  • Demonstrated experience with Azure Databricks cluster management, Delta Lake, and Spark optimization

Nice to Have:

  • Master's degree in Computer Science or equivalent experience

  • Automation/DevOps: Jenkins, Selenium, and similar technologies

  • Source code control: GIT

  • Experience working in agile/SaFe environment

  • Advanced Power BI certifications (Microsoft Certified: Data Analyst Associate or similar)

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.

  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

  • 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 services

  • Flexible work/life balance options

  • Opportunities to do challenging work

Job Skills

Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis

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:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-08-24

Application Deadline:

2026-09-14

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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RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Employment Type: FULL_TIME