Job Description

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Technology Strategy

Management Level

Senior Associate

Job Description & Summary

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 youll be a part of

As a Senior Associate Azure Data Engineer youll 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 teams 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 youll 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.

• Bachelors 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 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 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.

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 $84700 - $134700 . 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 youll love PwC

Were inspiring and empowering our people to change the world. Powered by the latest technology youll 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: 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.

Education (if blank degree and/or field of study not specified)

Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank certifications not specified)

Required Skills

Optional Skills

Accepting Feedback Accepting Feedback Active Listening Amazon Web Services (AWS) Analytical Thinking Architectural Engineering Business Continuity Cloud Architectures Cloud Compliance Cloud Infrastructure Cloud Migration Cloud Virtualization Communication Continuous Deployment Continuous Integration/Continuous Delivery (CI/CD) Creativity Data Infrastructure DevOps Practices Disaster Recovery Embracing Change Emotional Regulation Empathy Google Cloud Platform (GCP) Hardware Troubleshooting Hybrid Cloud 31 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

Were 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 ( tenons à répondre à vos besoins tout au long du processus de demande demploi dentrevue et dembauche. Si vous avez besoin de mesures dadaptation pour être parfaitement à laise faites-le-nous savoir à létape de la demande demploi.

Lutilisation de lintelligence 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 lIA pour améliorer votre expérience. Par exemple pendant lexamen du curriculum vitæ ou lélaboration dune liste de recommandations personnalisées un agent conversationnel pourrait vous demander des précisions ou fixer avec vous un rendez-vous pour lentrevue. LIA nous aide à mieux lutter contre les préjugés car lévaluation des candidats se fait de façon juste et équitable sans que les informations didentification comme le nom ou le sexe soient connues. Elle nous permet également de mieux repérer les bons candidats pour un poste et dévaluer le lien entre leurs compétences leur expérience et leurs chances de réussir chez PwC Canada. Bien que lIA facilite certaines étapes de notre processus de recrutement les décisions finales dembauche sont toujours prises par des personnes. Pour en savoir plus sur lutilisation et la protection de vos données personnelles consultez notre politique sur la protection des renseignements confidentiels ( Experience:

Senior IC

Job Tags

Full time, Live In, Visa sponsorship, Work visa,

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