Data and Analytics Engineering Manager

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.
We are seeking a highly skilled Manager Engineering (Generalist, product Engineering, Full Stack dev) with extensive experience working with Data Engineering and AI tools like Cursor, Cloude etc. The ideal candidate will be responsible for designing, developing, and providing guidance on improving dev processes through AI engineering for our clients, ensuring seamless integration and efficient operation of their processes across their environments and teams.

The Opportunity:  

As a Data and Analytics Engineering Manager, unlock your potential and embrace the chance to drive meaningful outcomes that’ll elevate your career. Your role will include, but isn’t limited to: 

• Hands-on experience with GitHub Copilot, Cursor, or similar AI coding assistants; Prompt engineering for code generation; AI-assisted code review & refactoring; AI-powered documentation generation 

•  Full-stack or backend development (Java, Python, .NET, JavaScript/TypeScript); API design & integration; Microservices architecture.  

• CI/CD pipelines (Jenkins, GitLab, GitHub Actions); Version control (Git); Code review best practices; Branching strategies 

• Optimize and troubleshoot machine learning pipelines to ensure high performance and reliability in production environments.   

• Stay up to date with the latest industry trends and technologies in AI assisted development processes 

• Coaching & mentoring; Facilitation; Stakeholder communication; Change advocacy

​ 

What You'll Bring: 
Your skills, knowledge, and experiences are what set you apart. Here's what we look for:

• Bachelor’s or master’s degree in computer science, Engineering, or a related field.   

• Proven experience as a data and product Engineering or Full Stack dev Engineer.   

• Strong proficiency with different AI tools like Cursor, Windsurf, etc.   

• Solid understanding of LLMs and best practices.   

• Experience with Azure Cloud Platform (Microsoft Azure).   

• Proficiency in Python and databricks.  

• Familiarity with CI/CD tools and practic es.   

• Strong problem-solving skills and attention to detail.   

• Excellent communication and collaboration skills.   

• Experience with containerization technologies such as Docker and Kubernetes.  

• Experience with different AI tools like Cursor, Windsurf, etc.   

• Knowledge of data engineering and data pipeline tools (e.g., Apache Beam, Airflow).   

• Understanding of change management and governance.   

• End-to-end experience in software development life cycle processes.   

• PwC Canada is committed to cultivating an inclusive, hybrid work environment. Exact expectations for your team can be discussed with your interviewer.

This newly created role reflects our commitment to growth and delivering distinctive value for our clients and stakeholders.

The salary range for this position is $112,400 - $162,400. 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 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, 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 {+ 24 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

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.

The use of artificial intelligence (AI) in recruiting is just getting started, so we know you have questions about how and why we use it. At certain points during our recruiting process, we rely on AI to improve your experience. This could be during resume review or curating personalized job recommendations, asking you clarifying questions via a chatbot or during our interview scheduling to improve your experience. Our use of AI helps ensure we combat bias by evaluating candidates equally and fairly, without seeing identity information, such as your name, or gender for example). AI also helps us better predict successful hires by reviewing all applicants for a role and the relationship between your skills, experience and likely success at PwC Canada. While AI supports parts of our recruitment process, final hiring decisions always involve human review. For more information about our use and protection of your data, please refer to our Privacy Policy (https://www.pwc.com/ca/en/privacy-policy.html).

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.

L’utilisation de l’intelligence artificielle (IA) dans le domaine du recrutement en est à ses balbutiements. Nous savons que vous pourriez vous demander comment et pourquoi nous y avons recours. À certains stades de notre processus de recrutement, nous comptons sur l’IA pour améliorer votre expérience. Par exemple, pendant l’examen du curriculum vitæ ou l’élaboration d’une liste de recommandations personnalisées, un agent conversationnel pourrait vous demander des précisions ou fixer avec vous un rendez-vous pour l’entrevue. L’IA nous aide à mieux lutter contre les préjugés, car l’évaluation des candidats se fait de façon juste et équitable, sans que les informations d’identification comme le nom ou le sexe soient connues. Elle nous permet également de mieux repérer les bons candidats pour un poste et d’évaluer le lien entre leurs compétences, leur expérience et leurs chances de réussir chez PwC Canada. Bien que l’IA facilite certaines étapes de notre processus de recrutement, les décisions finales d’embauche sont toujours prises par des personnes. Pour en savoir plus sur l’utilisation et la protection de vos données personnelles, consultez notre politique sur la protection des renseignements confidentiels (https://www.pwc.com/ca/fr/privacy-policy.html).