Overview

A career within Deals, Capital Projects and Infrastructure, part of our Real Assets group, provides the opportunity to deliver innovative deal solutions to our clients, offering advice and support from initiation through to completion. The Real Assets team advises governments and businesses in the delivery of complex infrastructure and capital projects and programs. As part of the team, you will leverage 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.

Line of Service: Advisory
Industry/Sector: Not Applicable
Specialism: Capital Projects
Management Level: Senior Associate

Responsibilities

- 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 an interest in obtaining a qualified designation (e.g., PMP, P.Eng., etc.) would be an asset.
- Willingness to travel when required.
- Experience with construction claims is a plus.

The salary range for this position is $58,400 - $97,500. Salaries are determined by your skills, experience, qualifications, and location. Eligible employees may also participate in variable incentive pay programs designed to reward individual and firm‑wide achievements.

We are 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.

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📌 Deals Real Assets, Data Engineering & Digital Solutions, Senior Associate (Vancouver)
🏢 PwC Canada
📍 Vancouver