Line of Service Advisory Industry/Sector Not Applicable Specialism Technology Strategy Management Level Senior Associate 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. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

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

- 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.

Experience and Skills

- 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

The salary range for this position is $84,700 - $134,700. 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 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 setting, 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.

We’re 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.

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, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture Development, 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}

Desired Languages (If blank, de

📌 Azure Data Consultant, Senior Associate (Toronto)
🏢 PricewaterhouseCoopers
📍 Toronto