AWS Data Engineer

8 Minutes ago • All levels
Data Analysis

Job Description

At PwC, data and analytics engineers design and develop robust data solutions, transforming raw data into actionable insights. Machine learning ops engineers focus on deploying and maintaining ML systems. As an AWS Data Engineer in the Cloud, Data & AI practice, you will deliver cutting-edge, cloud-native data solutions, designing and implementing scalable, secure, and resilient data architectures on AWS. You will work with business leaders, data scientists, and technologists to solve complex challenges, leveraging AWS cloud technologies, data pipelines, and analytics to drive business value and competitive advantage.
Good To Have:
  • AWS certification(s) highly desirable.
Must Have:
  • Design, develop, and deploy robust, scalable, real-time AWS-based data solutions.
  • Architect and maintain secure, compliant data lake and warehouse solutions utilizing AWS services such as S3, Redshift, EMR, Lambda, Kinesis.
  • Build efficient ETL/ELT workflows that support diverse, complex data sources.
  • Lead the creation and optimization of event-driven, streaming data pipelines.
  • Partner with PwC consultants, data scientists, BI engineers, and client teams to translate business problems into effective technical solutions.
  • Ensure adherence to PwC’s rigorous data governance, security, and privacy policies.
  • Implement automation and DevOps best practices within data engineering pipelines.
  • Stay abreast of AWS innovations and industry trends.
  • Proven experience building enterprise-level data engineering solutions on AWS.
  • Proficiency in Python and hands-on experience with data orchestration tools (Apache Airflow, AWS Step Functions, or equivalent).
  • Solid hands-on experience of distributed data frameworks and streaming technologies such as Apache Spark, Kafka, and Hive.
  • Hands-on expertise with AWS ecosystem including S3, Lambda, Kinesis, Redshift, EMR, Glue and SQS.
  • Strong data modeling skills and experience designing ETL/ELT pipelines for batch and real-time ingestion.
  • Familiarity with CI/CD pipelines, version control, and infrastructure-as-code tools (CloudFormation, Terraform).
  • Bachelor’s or higher degree in Computer Science, Information Systems, Engineering or related fields.
Perks:
  • Inspiring and empowering environment
  • Opportunity to work with diverse teams on meaningful projects
  • Continuous development environment
  • Competitive compensation package
  • Inclusive benefits
  • Flexibility programs

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machine-learning

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Technology Strategy

Management Level

Manager

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 machine learning ops engineering at PwC will focus on developing and implementing operational processes and infrastructure to support machine learning models and algorithms. Your work will involve enabling the smooth deployment and maintenance of machine learning systems within an organisation.

Meaningful you'll be a part of

As a skilled AWS Data Engineer you will join our Cloud, Data & AI practice and play a key role in delivering cutting-edge, cloud-native data solutions for our clients across industries. In this role, you will design and implement scalable, secure, and resilient data architectures on AWS that enable actionable insights and operational efficiencies. As an integral member of multi-disciplinary teams, you will work closely with business leaders, data scientists, and technologists to solve complex challenges and accelerate clients’ digital transformation journeys.

Your expertise in AWS cloud technologies, data pipelines, and analytics will ensure PwC continues to uphold its reputation for delivering data solutions that drive sustainable business value and competitive advantage.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

  • Design, develop, and deploy robust, scalable, real-time AWS-based data solutions aligned with PwC’s high standards and client business objectives.
  • Architect and maintain secure, compliant data lake and warehouse solutions utilizing AWS services such as S3, Redshift, EMR, Lambda, Kinesis, and more.
  • Build efficient ETL/ELT workflows that support diverse, complex data sources, and enable timely data availability for analytics and reporting.
  • Lead the creation and optimization of event-driven, streaming data pipelines that support advanced analytics, AI/ML models, and decision-making processes.
  • Partner with PwC consultants, data scientists, BI engineers, and client teams to translate business problems into effective technical solutions.
  • Ensure adherence to PwC’s rigorous data governance, security, and privacy policies throughout the solution lifecycle.
  • Implement automation and DevOps best practices within data engineering pipelines to enhance reliability, scalability, and deployment velocity.
  • Stay abreast of AWS innovations and industry trends to continually bring new opportunities to PwC’s data practice and clients.

Experience and skills you'll use

  • Proven experience building enterprise-level data engineering solutions on AWS, supporting large-scale data initiatives.
  • Proficiency in Python and hands-on experience with data orchestration tools (Apache Airflow, AWS Step Functions, or equivalent).
  • Solid hands-on experience of distributed data frameworks and streaming technologies such as Apache Spark, Kafka, and Hive.
  • Hands-on expertise with AWS ecosystem including S3, Lambda, Kinesis, Redshift, EMR, Glue and SQS.
  • Strong data modeling skills and experience designing ETL/ELT pipelines for batch and real-time ingestion.
  • Familiarity with CI/CD pipelines, version control, and infrastructure-as-code tools (CloudFormation, Terraform).
  • Exceptional analytical skills with a proactive, problem-solving approach and a strong customer orientation.
  • Excellent communication and collaboration skills suited for a consulting environment involving clients and internal teams.
  • Bachelor’s or higher degree in Computer Science, Information Systems, Engineering or related fields; AWS certification(s) highly desirable.

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

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Artificial Intelligence (AI) Platform, Automation, Cloud Infrastructure, Coaching and Feedback, Communication, Continuous Integration/Continuous Delivery (CI/CD), Creativity, Data Model Testing, Data Pipeline, Design of Experiments, DevOps Practices, Dialectology, Embracing Change, Emotional Regulation, Empathy, Factor Analysis, Git Version Control System, Image Recognition Algorithms, Inclusion, Infrastructure Architecture, Intellectual Curiosity {+ 23 more}

Desired Languages

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.

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