Senior Associate, Azure Data Engineer
PwC
Job Summary
At PwC, the Cloud, Data & AI Business Unit assists clients in leveraging their data by designing and implementing modern, scalable solutions on Microsoft Azure. This role involves delivering advanced analytics, data engineering, and AI-driven insights to help organizations transform and innovate. As a Senior Associate, you will design and build data solutions, create high-quality data pipelines, ensure data integrity, and support deployment activities.
Must Have
- Act as an expert in Azure Data Platform (ADF, Databricks, Synapse, Event Hub, Blob Storage).
- Design and build scalable data pipelines for ingestion, transformation, and curation.
- 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 for data pipelines.
- Collaborate with data scientists, analysts, and business stakeholders.
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- Hands-on experience with Azure data services.
- Proficiency in SQL and Python; strong understanding of ETL/ELT processes.
- Hands-on experience with Power BI.
- Knowledge of data quality frameworks and error handling techniques.
- Strong analytical, problem-solving, and communication skills.
Good to Have
- Microsoft Certified: Azure Data Engineer Associate (DP-203)
- Microsoft Certified: Fabric Analytics Engineer Associate
- Databricks Certified Data Engineer Associate
Perks & Benefits
- Continuous development environment
- Competitive compensation package
- Inclusive benefits
- Flexibility programs
- Hybrid work environment
Job Description
Line of Service
Advisory
Industry/Sector
Not Applicable
Specialism
Technology Strategy
Management Level
Senior Associate
Job Description & Summary
At PwC, our Cloud, Data & AI Business Unit helps clients unlock value from their data by designing and implementing modern, scalable solutions on Microsoft Azure. We deliver advanced analytics, data engineering, and AI-driven insights to enable organisations to transform and innovate.
Meaningful work you'll be part of
As a Senior Associate, Azure Data Engineer, you will play a key role in designing and building data solutions on Azure. You will work closely with project teams to deliver high-quality data pipelines, ensure data integrity, and support deployment activities. Responsibilities include but are not limited to:
- Act as an expert in Azure Data Platform, including Azure Data Factory (ADF), Azure Databricks, Synapse Analytics, Event Hub, Blob Storage.
- Design and build scalable data pipelines for ingestion, transformation, and curation/normalisation of data.
- Implement data quality checks, error handling, and monitoring frameworks to ensure reliability.
- Apply strong knowledge of data modelling and data warehouse concepts to optimise architecture.
- Troubleshoot issues during development and testing phases, ensuring smooth deployment of data pipelines.
- Collaborate with data scientists, analysts, and business stakeholders to deliver robust solutions.
- Support pre-sales activities and RFP responses with technical input when required.
- Contribute to knowledge sharing and best practices within the team.
Experiences and skills you’ll use to solve
- Bachelor’s degree in Computer Science, Engineering, or related field
- Hands-on experience with Azure data services: Data Factory, Synapse, Databricks, Event Hub, Blob Storage.
- Proficiency in SQL and Python; strong understanding of ETL/ELT processes.
- Hands-on experience with Power BI
- Knowledge of data quality frameworks and error handling techniques.
- Strong analytical and problem-solving skills; effective communicator.
- Preferred certifications: Microsoft Certified: Azure Data Engineer Associate (DP-203); Microsoft Certified: Fabric Analytics Engineer Associate; Databricks Certified Data Engineer Associate
- 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
Degrees/Field of Study required:
Degrees/Field of Study preferred:
Certifications
Required Skills
Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 28 more}
Optional Skills
Desired Languages
Travel Requirements
Not Specified
Available for Work Visa Sponsorship?
No
Government Clearance Required?
No