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PwC Canada

Deals Real Assets, Data Engineering & Digital Solutions, Senior Associate

Vancouver, BC, Canada

The salary range for this position is $58,400 - $97,500. · Full-time

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Job details

Pay: The salary range for this position is $58,400 - $97,500.
Job type: Full-time
Apply by: Nov 1, 2026
Posting language: English
Posted: Oct 6, 2026

Original job description

Line of Service
Advisory

Industry/Sector
Not Applicable

Specialism
Capital Projects

Management Level
Senior Associate

Job Description & Summary
A career within Deals, Capital Projects and Infrastructure, part of our Real Assets group, will provide you with the opportunity to deliver innovative deal solutions to our clients, providing advice and support, from initiation through to completion. In short, we're a part of helping some of the world's leading companies and governments across many industries originate, create, execute, and realize value.  

The Real Assets team advises governments and businesses in the delivery of complex infrastructure and capital projects and programs. As part of our team, you'll leverage your technical expertise in data engineering and software development to build the digital tools, platforms, and data solutions that power our advisory capabilities, enabling clients to optimize capital programs, ensure project success, and navigate constrained budgets or challenging situations.

The Opportunity: 

As a Deals, Real Assets Senior Associate – Data Engineering & Digital Solutions, unlock your potential and embrace the chance to drive meaningful outcomes that'll elevate your career. Your role will include, but isn't limited to: 

Data Engineering & Pipeline Development

Architect, design, and develop robust, end-to-end data pipelines utilizing Azure Data Factory, Azure Databricks, and Azure Synapse Analytics

Design and implement data models within Azure Data Lake, leveraging Medallion Architecture and building complex business logic into scalable, efficient transformations

Develop processes to ingest data from a wide variety of sources, including relational databases (SQL, Oracle), APIs, flat files, and project management systems

Automate data workflows and implement CI/CD practices for data pipelines using Azure DevOps or GitHub Actions to ensure quality and rapid deployment

Monitor, troubleshoot, and optimize data solutions for performance, scalability, and cost-effectiveness

Proactively identify and resolve performance bottlenecks in data pipelines, data partitioning strategies, and cost-control measures across Azure data services

Lead the development, build, and maintenance of internal tools and applications using Python, including Generative AI modules, automation scripts, and data processing pipelines to enhance the team's advisory capabilities on capital projects

Design, develop, and maintain custom web-based dashboards and interactive reporting tools using HTML, CSS, JavaScript, and Python-based frameworks (e.g., Flask, Dash, Streamlit)

Integrate AI-driven solutions into project advisory workflows (e.g., document analysis, benchmarking, risk identification, schedule analytics)

Ensure data quality, integrity, and governance by implementing best practices, data validation checks, and robust documentation

Participate in reviewing and validating project schedules and budgets, forecasting of project performance, and performing project risk assessments, monitoring and control.

Assist in the preparation of proposals and development of opportunities for the CP&I practice

Work closely with project advisors, data analysts, and business stakeholders to understand their data requirements and deliver high-quality data solutions

Perform site visits and inspections as needed

May require work on site, including travel to remote locations

What You'll Bring: 

Relevant years of experience in data engineering, software development, or a related technical role (internships, co-ops, and academic projects count)

Exposure to or interest in capital projects, engineering consulting, project management, or construction management environments is an asset

Ability to troubleshoot and problem-solve, with a willingness to work through ambiguous or unfamiliar technical challenges and an openness to learning new tools and adapting how you work

Proficiency or working knowledge of Python with the ability to develop tools, create reusable scripts for data analysis, and build data processing pipelines

Familiarity with core Azure data services (e.g., Azure Data Factory, Azure Databricks

Understanding of or exposure to data pipeline development concepts, including data warehousing principles, and data lake architectures

Working knowledge of SQL with the ability to write queries to extract and transform data from relational databases

Experience with front-end web technologies (HTML, CSS, JavaScript) and Python-based dashboard frameworks

Interest in or exposure to building Generative AI modules (e.g., leveraging APIs such as OpenAI, Anthropic, etc.) and integrating AI-driven solutions into advisory workflows

Awareness of Azure security best practices

 Bachelor's degree in Computer Science, Engineering, Information Technology, or related field is ideal

MBA or and interest in obtaining a professional designation (e.g., PMP, P.Eng., etc.) would be an asset

Willingness to travel when required

Experience with construction claims is a plus

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 $58,400 - $97,500. 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. 

Required Skills

Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Budgetary Management, Capital Management (CM), Capital Raising, Cash Flow Analysis, Communication, Contingency Planning, Contract Lifecycle Management, Contractor Management, Cost Estimate Preparation, Cost Management, Cost Reduction, Creativity, Embracing Change, Emotional Regulation, Empathy, Financial Management, Financial Modeling, Financial Risk Management, Inclusion, Intellectual Curiosity, Investment Management {+ 19 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements
Not Specified

Available for Work Visa Sponsorship?
No

Government Clearance Required?
No

Job Posting End Date
September 3, 2026

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).

Nous tenons à répondre à vos besoins tout au long du processus de demande d’emploi, d’entrevue et d’embauche. Si vous avez besoin de mesures d’adaptation pour être parfaitement à l’aise, faites-le-nous savoir à l’étape de la demande d’emploi.

L’utilisation de l’intelligence artificielle (IA) dans le domaine du recrutement en est à ses balbutiements. Nous savons que vous pourriez vous demander comment et pourquoi nous y avons recours. À certains stades de notre processus de recrutement, nous comptons sur l’IA pour améliorer votre expérience. Par exemple, pendant l’examen du curriculum vitæ ou l’élaboration d’une liste de recommandations personnalisées, un agent conversationnel pourrait vous demander des précisions ou fixer avec vous un rendez-vous pour l’entrevue. L’IA nous aide à mieux lutter contre les préjugés, car l’évaluation des candidats se fait de façon juste et équitable, sans que les informations d’identification comme le nom ou le sexe soient connues. Elle nous permet également de mieux repérer les bons candidats pour un poste et d’évaluer le lien entre leurs compétences, leur expérience et leurs chances de réussir chez PwC Canada. Bien que l’IA facilite certaines étapes de notre processus de recrutement, les décisions finales d’embauche sont toujours prises par des personnes. Pour en savoir plus sur l’utilisation et la protection de vos données personnelles, consultez notre politique sur la protection des renseignements confidentiels (https://www.pwc.com/ca/fr/privacy-policy.html).

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More about this job

Responsibilities

Design, build, and optimize Azure-based data pipelines, data models, internal Python tools, AI-enabled solutions, and interactive dashboards for capital projects and infrastructure advisory work. Collaborate with advisors and stakeholders on data needs, project performance and risk analysis, proposals, and project monitoring, with site visits and travel as needed.

Requirements

Relevant experience in data engineering, software development, or a related technical role is sought, along with Python, SQL, and familiarity with Azure data services, data pipelines, and data lake or warehousing concepts. A bachelor's degree in computer science, engineering, information technology, or a related field is ideal; web technologies, AI, Azure security, capital projects exposure, and willingness to travel are also relevant.

Skills

Data Engineering
Python
Azure Data Factory
Azure Databricks
Azure Synapse Analytics
SQL
Data Pipeline Development
Data Modeling
Azure Data Lake
Medallion Architecture
Azure DevOps
GitHub Actions
Generative AI
Web Development
Project Risk Assessment
Data Governance

Benefits

Inclusive Benefits
Flexibility Programs
Variable Incentive Pay

Visa sponsorship

Not detected in the job text

Keywords

Azure Data Factory
Azure Databricks
Azure Synapse Analytics
Azure Data Lake
Medallion Architecture
Python
SQL
Oracle
APIs
Azure DevOps
GitHub Actions
CI/CD
Generative AI
OpenAI
Anthropic
HTML
CSS
JavaScript
Flask
Dash
Streamlit
Data Engineering
Data Pipelines
Data Warehousing
Data Governance
Data Validation
Capital Projects
Infrastructure
Project Risk Assessment
Project Management

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