Senior Associate, Data Engineer

Toronto - Canada

Monthly Salary: Not Disclosed

Posted on: 14 hours ago

Vacancies: 1 Vacancy

Job Summary

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 workyoullbe part of

As a Senior Associate Data Engineer at PwCyoullhelp clients design build and modernize data platforms that power analytics AI and business insights.Youllwork 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 scalablebatchandstreamingdata pipelines using Python/SQL and frameworks like Spark and Databricks.
Develop ELT/ETL workflows and orchestration with tools such as Airflowdbt Azure Data Factory AWS Glue or GCP Cloud Composer.
Implement data models (dimensional/Kimball Data Vault orlakehousepatterns) andoptimizequery performance.
Stand up and manage cloud data platforms and warehouses (e.g. SnowflakeBigQuery 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;participatein estimations and delivery planning.
Apply DevOps practices: version control (Git) CI/CD (GitHub Actions Azure DevOpsCodePipeline) 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 andmaintaindocumentation.
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 skillsyoulluse to solve

Bachelors degree in Computer Science Engineering Mathematics Information Systems or equivalent experience.
36 years of hands-on experience in data engineering building production-grade data pipelines and data platforms.
Strongproficiencyin SQL and one or more programming languages (Python preferred; Scala/Javaan asset).
Experience with at least one major cloud platform (Azure AWS or GCP) for data engineering workloads.
Practical knowledge of data warehousing andlakehousearchitectures including performance tuning and cost optimization.
Familiarity with orchestration and transformation tooling (e.g. Airflowdbt 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 are welcome to apply the responsibilities of this role do not involve the practice of professional engineering as defined by applicable legislation.
PwC Canadaiscommitted to cultivating an inclusive hybrid work environment. Exact expectations for your team can be discussed with your interviewer.
Travel may berequiredbased on client needs (typically up to 2040%); hybrid work options available depending on project and office policies.

Whyyoulllove PwC

Wereyoullbe a part ofdiverseteams 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 more aboutourApplication Process andTotal 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 NationsMétisand Inuit Peoples. We recognize the systemic racismcolonialismand 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

Government Clearance Required

Job Posting End Date

At PwC Canada our most valuable asset is our people and we grow stronger as we learn from one another. Were 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.

Were 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: Be a part of The New Equation.

Chez PwC Canada notre atout le plus précieux cest notre personnel. Et cest 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 lexpérience peut prendre diverses formes et pour nous donner confiance au public et résoudre des problèmes importants nest 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 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.

Pour en savoir plus sur linclusion et la diversité chez PwC Canada: Faites partie de La Nouvelle équation.

Required Experience:

Senior IC

Line of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismTechnology StrategyManagement LevelSenior AssociateJob Description & SummaryAt PwC our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clien...