Azure Data Engineer, Manager

At PwC, data and analytics engineers design and develop robust data solutions, transforming raw data into actionable insights to drive business growth. Machine learning ops engineers focus on operational processes and infrastructure for machine learning models. As an Azure Data Engineer, Manager, you will lead teams to deliver end-to-end Azure data engineering projects, combining technical expertise with leadership to design, build, and deploy robust data solutions. You will collaborate with Project and Practice Leads, support RFPs and pre-sales, ensuring high-quality delivery aligned with client objectives.

Must Have

• Lead teams to deliver end-to-end Azure data engineering projects.
• Act as an expert in Azure Data Platform (ADF, Databricks, Synapse Analytics, Event Hub, Blob Storage, Fabric).
• Design and build scalable data pipelines, including ingestion, curation, normalisation, and transformation.
• Implement data quality checks, error handling, and monitoring frameworks.
• Apply strong knowledge of data modelling and data warehouse concepts.
• Troubleshoot issues during development and testing phases.
• Integrate and optimise Power BI solutions for reporting and analytics.
• Collaborate with stakeholders to define architecture and technical approach; support pre-sales and RFP responses.
• Promote DevOps/DataOps practices, CI/CD pipelines, and Infrastructure as Code.
• Mentor team members and contribute to knowledge sharing and best practices.
• Deep expertise in Azure Data Platform services.
• Strong proficiency in SQL, Python, and data architecture principles.
• Solid understanding of data modelling, data warehousing, and ETL/ELT processes.
• Hands-on experience with Power BI.
• Experience with data quality frameworks, error handling, and pipeline optimisation.
• Knowledge of cloud security, IAM, compliance, and cost optimisation strategies.

Good to Have

• Master’s degree or MBA preferred.
• Microsoft Certified: Azure Data Engineer Associate (DP-203)
• Microsoft Certified: Fabric Analytics Engineer Associate
• Databricks Certified Data Engineer Professional

Perks & Benefits

• Continuous development environment
• Competitive compensation package
• Inclusive benefits
• Flexibility programs

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Technology Strategy

Management Level

Manager

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

Those in machine learning ops engineering at PwC will focus on developing and implementing operational processes and infrastructure to support machine learning models and algorithms. Your work will involve enabling the smooth deployment and maintenance of machine learning systems within an organisation.

Meaningful work you’ll be part of

As an Azure Data Engineer, Manager, you will lead teams to deliver end-to-end data engineering projects on Azure. You will combine technical expertise with leadership skills to design, build, and deploy robust data solutions. You will collaborate with Project Leads and Practice Leads, support RFPs and pre-sales activities, and ensure high-quality delivery aligned with client objectives. Responsibilities include but are not limited to:

• Lead teams to deliver end-to-end Azure data engineering projects, ensuring technical excellence and timely delivery.

• Act as an expert in Azure Data Platform, including Azure Data Factory (ADF), Azure Databricks, Synapse Analytics, Event Hub, Blob Storage, Fabric

• Design and build scalable data pipelines, including data ingestion, curation, normalisation, and transformation.

• Implement data quality checks, error handling, and monitoring frameworks to ensure reliability.

• Apply strong knowledge of data modelling and data warehouse concepts to design optimised solutions.

• Troubleshoot issues during development and testing phases, ensuring smooth deployment of data pipelines.

• Integrate and optimise Power BI solutions for reporting and analytics, ensuring seamless connectivity with Azure data sources.

• Collaborate with stakeholders to define architecture and technical approach; support pre-sales and RFP responses with solution design input.

• Promote DevOps/DataOps practices, CI/CD pipelines, and Infrastructure as Code.

• Mentor team members and contribute to knowledge sharing and best practices within the practice.

Experiences and skills you’ll use to solve

• Bachelor’s degree in Computer Science, Engineering, or related field; Master’s degree or MBA preferred.

• Proven experience in leading onshore/offshore teams to deliver complex Azure data engineering projects.

• Deep expertise in Azure Data Platform services: Data Factory, Databricks, Synapse Analytics, Event Hub, Blob Storage.

• Strong proficiency in SQL, Python, and data architecture principles.

• Solid understanding of data modelling, data warehousing, and ETL/ELT processes.

• Hands-on experience with Power BI .

• Experience with data quality frameworks, error handling, and pipeline optimisation.

• Knowledge of cloud security, IAM, compliance, and cost optimisation strategies.

• Excellent communication, stakeholder management, and leadership skills.

• Preferred certifications:  Microsoft Certified: Azure Data Engineer Associate (DP-203); Microsoft Certified: Fabric Analytics Engineer Associate; Databricks Certified Data Engineer Professional

• 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.

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, Analytical Thinking, Artificial Intelligence (AI) Platform, Automation, Cloud Infrastructure, Coaching and Feedback, Communication, Continuous Integration/Continuous Delivery (CI/CD), Creativity, Data Model Testing, Data Pipeline, Design of Experiments, DevOps Practices, Dialectology, Embracing Change, Emotional Regulation, Empathy, Factor Analysis, Git Version Control System, Image Recognition Algorithms, Inclusion, Infrastructure Architecture, Intellectual Curiosity {+ 24 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

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.

To learn more about inclusion and diversity at PwC Canada: https://www.pwc.com/ca/en/about-us/diversity-inclusion.html. Be a part of The New Equation.