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 Data Engineer at PwC, you’ll help clients design, build, and modernize data platforms that power analytics, AI, and business insights. You’ll work across cloud technologies (Azure, AWS, GCP), data warehousing, and modern data stacks to deliver scalable data pipelines, trustworthy datasets, and reliable platforms, while contributing to solution architecture, delivery excellence, and client communication. Responsibilities include but are not limited to: Design and build scalable batch and streaming data pipelines using Python/SQL and frameworks like Spark and Databricks. Develop ELT/ETL workflows and orchestration with tools such as Airflow, dbt, Azure Data Factory, AWS Glue, or GCP Cloud Composer. Implement data models (dimensional/Kimball, Data Vault, or lakehouse patterns) and optimize query performance. Stand up and manage cloud data platforms and warehouses (e.g., Snowflake, BigQuery, Redshift, Synapse) and data lakes on object storage. Integrate diverse data sources (APIs, files, events, databases) and ensure data quality, lineage, and governance (e.g., Great Expectations, Monte Carlo, Collibra, Purview). Contribute to solution architecture, documenting technical designs and assumptions; participate in estimations and delivery planning. Apply DevOps practices: version control (Git), CI/CD (GitHub Actions, Azure DevOps, CodePipeline), and Infrastructure as Code (Terraform/CloudFormation/Bicep). Implement security and compliance controls (encryption, RBAC, secrets management) aligned to client and regulatory standards. Support agile delivery: backlog refinement, sprint planning, demos, and retros; write unit/integration tests and maintain documentation. Collaborate with analysts, data scientists, and business stakeholders to translate requirements into technical solutions and reliable datasets. Mentor junior team members and contribute to reusable assets, accelerators, and best practices within the Data & Analytics practice. Experiences and skills you’ll use to solve Bachelor’s degree in Computer Science, Engineering, Mathematics, Information Systems, or equivalent experience. 3–6 years of hands-on experience in data engineering, building production-grade data pipelines and data platforms. Strong proficiency in SQL and one or more programming languages (Python preferred; Scala/Java an asset). Experience with at least one major cloud platform (Azure, AWS, or GCP) for data engineering workloads. Practical knowledge of data warehousing and lakehouse architectures, including performance tuning and cost optimization. Familiarity with orchestration and transformation tooling (e.g., Airflow, dbt, ADF/Glue/Composer). Solid understanding of data modeling, metadata management, data quality, and governance concepts. Experience with Git-based workflows, CI/CD, and automated testing in data projects. Excellent communication and client-facing skills; ability to work in cross-functional teams and deliver in an agile environment. Experience with Databricks, Snowflake, Kafka/Event Hubs/Kinesis, or streaming frameworks (Structured Streaming/Flink). Hands-on with containers and orchestration (Docker/Kubernetes) for data workloads. Exposure to MLOps/feature stores and integrating data engineering with ML pipelines. Certifications such as Azure Data Engineer Associate, AWS Data Analytics Specialty, or Google Professional Data Engineer. 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. Travel may be required based on client needs (typically up to 20–40%); hybrid work options available depending on project and office policies. 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, 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} 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. Chez PwC Canada, notre atout le plus précieux, c’est notre personnel. Et c’est en apprenant les uns des autres que nous devenons plus forts. Nous avons à cœur de créer une communauté équitable et inclusive de professionnels de la résolution de problèmes, dans laquelle chacun se sent vraiment à sa place. Nous savons que l’expérience peut prendre diverses formes et, pour nous, donner confiance au public et résoudre des problèmes importants n’est possible que si notre milieu de travail reflète la diversité de la société dans laquelle nous vivons. Nous tenons à répondre à vos besoins tout au long du processus de demande d’emploi, d’entrevue et d’embauche. Si vous avez besoin de mesures d’adaptation pour être parfaitement à l’aise, faites-le-nous savoir à l’étape de la demande d’emploi. Pour en savoir plus sur l’inclusion et la diversité chez PwC Canada: https://www.pwc.com/ca/fr/about-us/diversity-inclusion.html. Faites partie de La Nouvelle équation. Are you ready to make a difference? Want to unlock new value by applying your unique perspective and talents? You can grow exponentially at PwC. Here, you can uncover hidden talents, build lifelong relationships rooted in trust and empathy and turn challenges into opportunities for innovation. We’ll help you grow your skills through challenging, meaningful work so you can go further.
