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

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

• 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.