Data Engineering Associate

At PwC, Data Engineering Associates leverage advanced technologies to design and develop robust data solutions, transforming raw data into actionable insights for clients. This role involves collaborating with multidisciplinary teams to build and optimize data pipelines, enable analytics and AI/ML workloads, and deliver impactful solutions across various industries. The focus is on designing and implementing modern, scalable solutions on Google Cloud Platform (GCP) to unlock value from data.

Must Have

• Design, develop, and maintain scalable data pipelines and ETL/ELT workflows using GCP services.
• Build and manage cloud-native data platforms, data lakes, and data warehouses.
• Collaborate with data scientists, analysts, and business stakeholders to deliver data solutions.
• Implement DevOps and DataOps practices, including CI/CD, version control, and Infrastructure as Code.
• Ensure data quality, security, and compliance with best practices and regulatory requirements.
• Monitor, troubleshoot, and optimise data workflows for performance and cost efficiency.
• Proficiency in SQL and Python.
• Understanding of data warehousing, data modelling, and ETL/ELT processes.
• Familiarity with DevOps/DataOps tools and practices.
• Knowledge of cloud security, IAM, and compliance.

Good to Have

• GCP Associate Cloud Engineer certification
• Professional Data Engineer certification

Perks & Benefits

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

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Technology Strategy

Management Level

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.

Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.

At PwC, our Cloud, Data & AI Business Unit empowers clients to unlock value from their data by designing and implementing modern, scalable solutions on Google Cloud Platform (GCP). We deliver advanced analytics, data engineering, and AI-driven insights to help organisations transform and innovate.

Meaningful work you'll be part of

As a Data Engineering Associate, you’ll collaborate with multidisciplinary teams to build and optimise data pipelines, enable analytics and AI/ML workloads, and deliver impactful solutions for clients across industries. Responsibilities include but are not limited to:

• Design, develop, and maintain scalable data pipelines and ETL/ELT workflows using GCP services (BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage).

• Build and manage cloud-native data platforms, data lakes, and data warehouses to support analytics and AI initiatives.

• Collaborate with data scientists, analysts, and business stakeholders to deliver data solutions that enable machine learning and advanced analytics.

• Implement DevOps and DataOps practices, including CI/CD, version control, and Infrastructure as Code (Terraform, Deployment Manager).

• Ensure data quality, security, and compliance with best practices and regulatory requirements.

• Monitor, troubleshoot, and optimise data workflows for performance and cost efficiency.

• Document technical solutions and contribute to knowledge sharing within the team.

Experiences and skills you’ll use to solve

• Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent experience.

• Hands-on experience with GCP data services: BigQuery, Dataflow/Beam, Dataproc/Spark, Pub/Sub, Cloud Storage, Composer/Airflow.

• Proficiency in SQL and Python

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

• Familiarity with DevOps/DataOps tools and practices.

• Knowledge of cloud security, IAM, and compliance.

• Strong analytical and problem-solving skills; effective communicator.

• Preferred certifications: GCP Associate Cloud Engineer or 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.

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, AI Implementation, C++ Programming Language, Communication, Complex Data Analysis, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Machine Learning, Machine Learning Libraries, Named Entity Recognition, Natural Language Processing (NLP), Natural Language Toolkit (NLTK) {+ 20 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