<?xml version="1.0" encoding="UTF-8" ?>
	<?xml-stylesheet type="text/xsl" href="https://canada.itjoblisting.com/public/js/rss.xsl"?>
			<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
				<channel>
					<title>IT jobs, Latest Tech jobs,  Discover high paying IT jobs in your city, IT Job posting, hire tech talents locally and globally.</title>
				    <link>https://canada.itjoblisting.com/toronto/it-jobs-c65/</link><description>RSS featured ads: IT Jobs in Toronto</description><atom:link href="https://canada.itjoblisting.com/rss/featured/toronto/it-jobs-c65/" rel="self" type="application/rss+xml" />
				<item>
					<title><![CDATA[Azure Data Consultant, Senior Associate]]></title>
					<link>https://canada.itjoblisting.com/item/azure-data-consultant-senior-associate-270.html</link>
					<guid isPermaLink="false">https://canada.itjoblisting.com/item/azure-data-consultant-senior-associate-270.html</guid>
					<description><![CDATA[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. <a href="https://canada.itjoblisting.com/toronto/it-jobs-c65/">IT Jobs, Toronto</a>]]></description>		
					<pubDate>Thu, 25 Jun 2026 02:47:23 +0000</pubDate>
				</item>
				<item>
					<title><![CDATA[Analyst, Digital Health Strategy & Analytics]]></title>
					<link>https://canada.itjoblisting.com/item/analyst-digital-health-strategy-analytics-276.html</link>
					<guid isPermaLink="false">https://canada.itjoblisting.com/item/analyst-digital-health-strategy-analytics-276.html</guid>
					<description><![CDATA[*Note: This is a contingency opportunity (Non-Payroll Contractor)

Location: 500 Lake Shore Blvd W, Toronto, ON M5V 2V9. In office 4 days per week.

Compensation: $36.00 / hourly

The Impact You’ll Make:

As an Analyst, Digital Health Strategy &amp; Analytics (8-month contract) supporting the Strategy &amp; Planning team, you’ll support the Digital Health business through product analytics and web analytics. You’ll analyze large datasets to identify actionable insights that drive patient acquisition, improve retention, and enhance patient engagement across our digital health ecosystem (i.e., Shoppers Drug Mart, PC Health).

You’ll focus heavily on building dashboards, developing reports, and uncovering insights that help shape both product and business strategies. Working closely with Marketing and Product Managers, you’ll support performance tracking, forecasting, and data-driven recommendations that inform key business decisions. You’ll explore patient behaviors, digital engagement trends, and campaign performance to help translate data into meaningful opportunities for growth and improved patient experiences.

You’ll collaborate closely with cross-functional partners across Loblaw Media, Digital Messaging, Business Intelligence, and Product Strategy, ensuring analytics and insights fuel the next generation of digital health growth. Your work will directly influence how we evolve our omnichannel experience and deliver meaningful health solutions to Canadians.

What You’ll Do:

 Leverage your advanced analytics toolkit (SQL, Python/R, Snowplow Analytics) to uncover actionable insights and deliver strategic recommendations that shape marketing and product strategies
 Work across Product, Tech and other business partners to support ad-hoc data requests by extracting, analyzing, and uncovering insights through a variety of complex datasets (e.g., patient behavior data, web analytics data, refill data, customer feedback data)
 Build reporting and analytics to better understand patient journeys and on-site/in-app engagement to drive traffic and conversion
 Measure the impact of marketing campaigns to uncover insights, optimize performance, and improve targeting
 Partner with BI and Digital Implementation teams to enhance data accuracy and develop workflow automations

 Translate ambiguous data into clear, concise insights and recommendations for cross-functional stakeholders

Does this sound like you?

 Previous experience in a management consulting, analytics, E-Commerce, or high growth technology company with strong business acumen
 Strong analytical skills with proficient experience in SQL and Excel
 Demonstrated ability to manage priorities in a high capacity and deal with ambiguity, maintain focus while working on multiple complex projects independently
 Exceptional organizational, problem solving, and critical thinking skills combined with the ability to synthesize and effectively communicate/story tell findings to all levels throughout the organization
 Experience in web analytics tools such as Snowplow Analytics, Google Analytics or similar platforms is preferred 
 Experience in data visualization tools such as LookerML, Data Studio or similar platforms is preferred 
 Experience in utilizing additional data analysis tools such as Python or RStudio
 Knowledge of ETL processes &amp; tools is an asset

How You’ll Succeed: 

At Loblaw Digital, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections. 

We’re able to keep innovating because our colleagues are passionate about their work and excited about the future of eCommerce.

If you have big ideas, undeniable enthusiasm, and thrive in a collaborative, creative, and diverse group, we’ll get along just fine.

Looking for a challenge? Good. Love an innovative work environment? Even better.

Apply today.

Employment Type:
Full time

Type of Role:
Non-Payroll Contractor

Loblaw Digital recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired.

In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

Hiring Range / Échelle salariale à l’embauche :

$80,000.00 - $110,000.00 / 80.000,00$ - 110.000,00$ (per year / par an)

https://careers.loblaw.ca <a href="https://canada.itjoblisting.com/toronto/it-jobs-c65/">IT Jobs, Toronto</a>]]></description>		
					<pubDate>Sun, 28 Jun 2026 05:11:58 +0000</pubDate>
				</item>
				<item>
					<title><![CDATA[Staff Data Engineer]]></title>
					<link>https://canada.itjoblisting.com/item/staff-data-engineer-287.html</link>
					<guid isPermaLink="false">https://canada.itjoblisting.com/item/staff-data-engineer-287.html</guid>
					<description><![CDATA[As a Staff Data Engineer, you will play a technical leadership and architecture role on the Retail Media Platform team. This is a senior, hands-on position focused on designing, building, and evolving high-scale data platforms and backend systems that power advertising measurement, reporting, analytics, and AI-enabled use cases.

You will lead complex design initiatives, improve performance and reliability across critical pipelines, raise the bar on code quality, and mentor engineers across teams. You will also work closely with backend, product, and AI teams to reduce system coupling, evolve metadata and API design, and enable next-generation data and AI capabilities across the platform.

This role is ideal for someone who enjoys being both a system architect and a strong individual contributor, and who wants to shape the future of data and AI platforms at scale.

What You'll Do:

Architecture &amp; Technical Leadership

 Lead system-level design for scalable, reliable, and high-performance data platforms supporting batch, streaming, and real-time use cases.

 Drive architectural improvements across data pipelines, metadata layers, APIs, and service dependencies.

 Partner with Product, Backend, and AI teams to translate complex business requirements into robust technical solutions.

Data Engineering &amp; Platforms

 Architect, build, and optimize large-scale data pipelines using PySpark, Dataproc, Airflow, GCS, Parquet, and GCP services.

 Design and maintain data models that support analytics, reporting, experimentation, and measurement at scale.

 Implement strong data quality, validation, observability, and monitoring practices to ensure data trust and reliability.

Backend &amp; API Enablement

 Contribute to the design and evolution of backend services and APIs that expose measurement, filtering, and reporting capabilities.

 Reduce unnecessary API and metadata dependencies to unlock better performance and flexibility, including deeper and more effective use of analytics engines such as Druid.

 Collaborate closely with backend engineers on service design, scalability, and performance tuning.

AI &amp; Data-for-AI Enablement

 Partner with Data &amp; AI teams to enable AI-driven features through high-quality, well-modeled, and inference-ready data pipelines.

 Support Loblaw’s broader AI strategy (including LDIA initiatives) by designing data foundations that power experimentation, automation, and intelligent decision-making.

 Help bridge traditional data engineering with emerging AI-enabled use cases.

Engineering Excellence &amp; Mentorship

 Lead design reviews and code reviews, setting standards for performance, readability, testing, and maintainability.

 Mentor and coach engineers across experience levels, helping raise overall engineering maturity.

 Drive continuous improvement across pipeline performance, cost efficiency, reliability, and operational excellence.

Does This Sound Like You?

 BA/BS in Computer Science, Engineering, Math, or a related field (advanced degree is a plus).

 Senior- or Staff-level Data Engineer with experience owning production-critical, large-scale systems.

 Deep hands-on expertise with PySpark and distributed data processing, including performance optimization.

 Strong experience with cloud data platforms, preferably GCP (Dataproc, GCS, BigQuery).

 Strong SQL skills with experience querying and optimizing large analytical datasets.

 Experience with non-relational and analytical data stores (e.g., Druid, Bigtable, Elasticsearch, or similar).

 Solid programming experience in Python, Scala, or Java.

 Experience with orchestration tools such as Airflow and operating production pipelines.

 Strong understanding of data modeling, partitioning strategies, and storage formats (e.g., Parquet).

 Experience working in Agile environments with iterative delivery.

 Strong oral and written communication skills, with the ability to articulate technical concepts to both technical and non-technical stakeholders.

 Proven team player who thrives in a fast-paced, collaborative environment.

Nice to Have

 Experience supporting AI/ML workflows or platforms used for model training or inference.

 Experience with real-time or streaming systems (e.g., Kafka or similar).

 Experience in advertising technology, retail media, or large-scale measurement systems.

 Experience designing or evolving metadata-driven systems and APIs.

Our commitment to Sustainability and Social Impact is an essential part of the way we do business, and we focus our attention on areas where we can have the greatest impact. Our approach to sustainability and social impact is based on three pillars – Environment, Sourcing and Community – and we are constantly looking for ways to demonstrate leadership in these important areas. Our CORE Values – Care, Ownership, Respect and Excellence – guide all our decision-making and come to life through our Blue Culture. We offer our colleagues progressive careers, comprehensive training, flexibility, and other competitive benefits – these are some of the many reasons why we are one of Canada’s Top Employers, Canada’s Best Diversity Employers, Canada’s Greenest Employers &amp; Canada’s Top Employers for Young People.

If you are unsure whether your experience matches every requirement above, we encourage you to apply anyway. We are looking for varied perspectives which include diverse experiences that we can add to our team.

We have a long-standing focus on diversity, equity and inclusion because we know it will make our company a better place to work and shop. We are committed to creating accessible environments for our colleagues, candidates and customers. Requests for accommodation due to a disability (which may be visible or invisible, temporary or permanent) can be made at any stage of application and employment. We encourage candidates to make their accommodation needs known so that we can provide equitable opportunities. 

Please Note:
Candidates who are 18 years or older are required to complete a criminal background check. Details will be provided through the application process.

Hiring Range / Échelle salariale à l’embauche :

$145,000.00 - $195,000.00 / 145.000,00$ - 195.000,00$ (per year / par an)

https://careers.loblaw.ca <a href="https://canada.itjoblisting.com/toronto/it-jobs-c65/">IT Jobs, Toronto</a>]]></description>		
					<pubDate>Sun, 28 Jun 2026 23:09:56 +0000</pubDate>
				</item>
				</channel>
			</rss>