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Added 10 mins ago
New Home Coordinator
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Ottawa, ON
Interact with the sales team and homeowners and provide general support by advising on custom design changes. They will assist with assessing change requests and interact with the…
Added 10 mins ago
CE
Working Foreman – Heavy Equipment / Field Service
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- Full-time
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Added 24 mins ago
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- Full-time
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…the end-to-end orchestration system for the fastest growing sales channel (B2B Cloud Marketplaces) leveraging AI and integrations with core…
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Customer Success Manager - SMB
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QA Engineering Intern (Contract)
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Customer Success Manager
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- Full-time
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technology requests with technical services/application support teams
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Ottawa, ON
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A technical sales role encompasses a wide variety of tasks where one day does not look exactly like the next. The projects our team handles are high in volume and unique from one another,…
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technical, and people leadership for a specialized advisory team supporting
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Application Engineer
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Added 5 hours ago
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Added 6 hours ago
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Field Marketing Manager
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Remote, Canada
- $75,000 to $90,000 CAD / year
- Full-time
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…execution. Our teams combine deep domain expertise with strong technical capability, delivering outcomes through consulting, systems implementation, and proprietary platforms that…
Added 6 hours ago
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PwC Canada

Azure Data Consultant, Senior Associate

Toronto, ON, Canada

The salary range for this position is $84,700 - $134,700. · Full-time

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Job details

Pay: The salary range for this position is $84,700 - $134,700.
Job type: Full-time
Apply by: Dec 3, 2026
Posting language: English
Posted: Nov 3, 2026

Original job description

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

Meaningful work you'll be part of

As a Senior Associate, Azure Data Engineer, you will play a key role in designing and building data solutions on Azure. You will work closely with project teams to deliver high-quality data pipelines, ensure data integrity, and support deployment activities. Responsibilities include but are not limited to:

Act as an expert in Azure Data Platform, including Azure Data Factory (ADF), Azure Databricks, Synapse Analytics, Event Hub, Blob Storage.
Design and build scalable data pipelines for ingestion, transformation, and curation/normalisation of data.
Implement data quality checks, error handling, and monitoring frameworks to ensure reliability.
Apply strong knowledge of data modelling and data warehouse concepts to optimise architecture.
Troubleshoot issues during development and testing phases, ensuring smooth deployment of data pipelines.
Collaborate with data scientists, analysts, and business stakeholders to deliver robust solutions.
Support pre-sales activities and RFP responses with technical input when required.
Contribute to knowledge sharing and best practices within the team.

Experiences And Skills You’ll Use To Solve

Bachelor’s degree in Computer Science, Engineering, or related field
Hands-on experience with Azure data services: Data Factory, Synapse, Databricks, Event Hub, Blob Storage.
Proficiency in SQL and Python; strong understanding of ETL/ELT processes.
Hands-on experience with Power BI
Knowledge of data quality frameworks and error handling techniques.
Strong analytical and problem-solving skills; effective communicator.
Preferred certifications: Microsoft Certified: Azure Data Engineer Associate (DP-203); Microsoft Certified: Fabric Analytics Engineer Associate; Databricks Certified Data Engineer Associate
This role does not require professional engineering licensure and is not classified as a formal engineering position under provincial regulatory definitions. While individuals with a P.Eng designation are welcome to apply, the responsibilities of this role do not involve the practice of professional engineering as defined by applicable legislation PwC Canada is committed to cultivating an inclusive, hybrid work environment. Exact expectations for your team can be discussed with your interviewer

This newly created role reflects our commitment to growth and delivering distinctive value for our clients and stakeholders.

The salary range for this position is $84,700 - $134,700. The posted salary range represents the expected hiring range for PwC locations in major city centres. Given our national recruiting approach, ranges may vary for positions in other locations. At PwC Canada, base salary is determined by your skills, experience, qualifications and work location. In addition to base salary, eligible employees may have opportunities to participate in variable incentive pay programs which are designed to reward individual and firm-wide achievements. We are committed to offering competitive compensation and adhere to all relevant pay transparency legislation. During the hiring process, our Talent Acquisition team will provide details about our comprehensive total rewards package.

Why you’ll love PwC

We’re inspiring and empowering our people to change the world. Powered by the latest technology, you’ll be a part of diverse teams helping public and private clients build trust and deliver sustained outcomes. This meaningful work, and our continuous development environment, will take your career to the next level. We reward your impact, and support your wellbeing, through a competitive compensation package, inclusive benefits and flexibility programs that will help you thrive in work and life. Learn more about our Application Process and Total Rewards Package at: https://jobs-ca.pwc.com/ca/en/life-at-pwc

PwC Canada acknowledges that we work and live across Turtle Island, on the land that is now known as Canada, which are the lands of the ancestral, treaty and unceded territories of the First Nations, Métis and Inuit Peoples. We recognize the systemic racism, colonialism and oppression that Indigenous Peoples have experienced and still go through, and we commit to allyship and solidarity.

We’re committed to providing accommodation throughout the application, interview, and employment process. If you require accommodation to be at your best, please let us know during the application process.

The use of artificial intelligence (AI) in recruiting is just getting started, so we know you have questions about how and why we use it. At certain points during our recruiting process, we rely on AI to improve your experience. This could be during resume review or curating personalized job recommendations, asking you clarifying questions via a chatbot or during our interview scheduling to improve your experience. Our use of AI helps ensure we combat bias by evaluating candidates equally and fairly, without seeing identity information, such as your name, or gender for example). AI also helps us better predict successful hires by reviewing all applicants for a role and the relationship between your skills, experience and likely success at PwC Canada. While AI supports parts of our recruitment process, final hiring decisions always involve human review. For more information about our use and protection of your data, please refer to our Privacy Policy (https://www.pwc.com/ca/en/privacy-policy.html).

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More about this job

Responsibilities

Design and build scalable Azure data solutions and pipelines for data ingestion, transformation, and curation, while implementing data quality checks, error handling, and monitoring. Troubleshoot and support deployments, collaborate with technical and business teams, contribute to knowledge sharing, and provide technical input for pre-sales and RFP activities.

Requirements

A bachelor's degree in Computer Science, Engineering, or a related field is requested, along with hands-on experience using Azure data services and Power BI. Candidates should be proficient in SQL and Python, understand ETL/ELT, data modeling, data warehousing, data quality, and error handling, and have strong analytical, problem-solving, and communication skills; relevant Microsoft or Databricks certifications are preferred.

Skills

Azure Data Factory
Azure Databricks
Azure Synapse Analytics
Azure Event Hubs
Azure Blob Storage
Data Pipeline Design
Data Ingestion
Data Transformation
Data Curation
Data Quality
Error Handling
Data Modeling
Data Warehousing
SQL
Python
Power BI

Benefits

Inclusive Benefits
Flexibility Programs
Variable Incentive Pay

Visa sponsorship

Not detected in the job text

Keywords

Azure Data Platform
Azure Data Factory
Azure Databricks
Azure Synapse Analytics
Azure Event Hubs
Azure Blob Storage
Microsoft Fabric
Power BI
SQL
Python
ETL
ELT
Data Engineering
Data Pipelines
Data Integration
Data Transformation
Data Ingestion
Data Curation
Data Normalization
Data Quality
Error Handling
Monitoring Frameworks
Data Modeling
Data Warehousing
Microsoft Certified: Azure Data Engineer Associate (DP-203)
Microsoft Certified: Fabric Analytics Engineer Associate
Databricks Certified Data Engineer Associate
RFP Responses
Pre-Sales

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