At PwC, our people in infrastructure focus on designing and implementing robust, secure IT systems that support business operations. They enable the smooth functioning of networks, servers, and data centres to optimise performance and minimise downtime.In infrastructure engineering at PwC, you will focus on designing and implementing robust and scalable technology infrastructure solutions for clients. Your work will involve network architecture, server management, and cloud computing experience.As an Azure Data Engineer, you will play a crucial role in designing, building, and maintaining our enterprise data platform on the Microsoft Azure cloud. Your primary responsibility will be developing scalable, reliable, and efficient data pipelines to ingest, transform, and serve data to business analysts, data scientists, and operational systems. This role demands a deep understanding of modern data architecture, a passion for automation, and hands-on expertise with the Azure data stack.
Meaningful work you'll be a part of
As a Senior Associate, Azure Data Engineer, you'll work as part of a team of problem solvers, helping to solve business issues, deliver high quality client service and operational efficiency. Responsibilities include but are not limited to:
• Architect, design, and own the development of robust, end-to-end data pipelines for our production environment, utilizing Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
• Lead the design and implementation of advanced data models within our Azure Data Lake. Champion the Medallion Architecture (Bronze/Silver/Gold) and build complex business logic into scalable, efficient transformations using PySpark and Delta Lake.
• Develop ETL/ELT processes to ingest data from a wide variety of sources, including relational databases (SQL, Oracle), APIs, and streaming data feeds.
• Implement data models, transformations, and cleansing routines to prepare data for analytics.
• 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. This includes hands-on Spark job tuning, query optimization, data partitioning strategies, and implementing cost-control measures across our Azure data services.
• Work closely with data analysts, data scientists, and business stakeholders to understand their data requirements and deliver high-quality data solutions.
• Mentor junior data engineers through code reviews, paired programming, and technical guidance. Establish and document coding standards, best practices, and reusable frameworks to elevate the entire team's technical capabilities.
• Partner directly with data scientists, analysts, and business leaders to translate complex business requirements into robust, scalable, and reliable technical solutions.
• Ensure data quality, integrity, and governance by implementing best practices, data validation checks, and robust documentation.

Experiences and skills you'll use to solve
• Microsoft Azure Data Engineer Associate (DP-203) certification is required, or the ability to obtain it within the first 2 months.
• 5-7 years of dedicated, hands-on experience in a data engineering role, with a proven track record of delivering complex projects to production.
• Deep, hands-on expertise and production experience with core Azure data services: Azure Data Factory (ADF), Azure Databricks, and Azure Data Lake Storage (ADLS Gen2).
• Advanced proficiency in Azure Data Factory, including creating dynamic, metadata-driven pipelines, managing complex control flows and triggers, and configuring Self-Hosted Integration Runtimes for hybrid data movement.
• Expert-level proficiency in SQL and Python. You must have extensive, production-level experience with PySpark for large-scale, distributed data processing.
• Proven experience ingesting data from diverse and complex sources, including real-time streaming data from Kafka or Azure Event Hubs, REST APIs, and files from SFTP servers
• Proven experience designing and implementing end-to-end data solutions on Azure, demonstrating a strong grasp of modern ELT patterns, data warehousing (star schema), and data lake architectures (e.g., Medallion).
• Deep understanding of data storage optimization within ADLS Gen2, including file format selection (e.g., Delta, Parquet), partitioning strategies, and data lifecycle management for cost and performance.
• Demonstrated ability to troubleshoot and solve complex, ambiguous data problems in a production environment, including performance tuning and root cause analysis.
• Bachelor's degree in computer science, Engineering, Information Technology, or related field.
• Significant hands-on experience with Azure Synapse Analytics (Dedicated and Serverless SQL Pools).
• Experience in the healthcare or life sciences domain, with a strong understanding of healthcare data standards and interoperability protocols like HL7 v2.x and FHIR. This includes experience parsing, transforming, and modeling complex clinical or claims data.
• Experience integrating with specialized or legacy data sources using protocols such as HTTP and MLLP for healthcare data feeds.
• Experience building and managing CI/CD pipelines for data engineering projects using Azure DevOps.
• Proficiency with Infrastructure as Code (Bicep preferred, Terraform is a plus).
• Strong understanding of Azure security best practices (Managed Identities, Azure Key Vault, Private Endpoints).
• 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.

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.
At PwC Canada, our most valuable asset is our people and we grow stronger as we learn from one another. We're committed to creating an equitable and inclusive community of solvers where everyone feels that they truly belong. We understand that experience comes in many forms and building trust in society and solving important problems is only possible if we reflect the mosaic of the society we live in.
We're committed to providing accommodations throughout the application, interview, and employment process. If you require an accommodation to be at your best, please let us know during the application process.