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

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. 

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). 732972WD