Senior Manager, Data Engineering

PwC; Toronto; On-site; CAD 100,000 - 130,000; Full time

Job summary

A global professional services firm in Toronto is seeking a Senior Manager, Data Engineering to lead a team in developing advanced analytics solutions. The ideal candidate will have extensive experience in data engineering, cloud platforms, and a strong focus on delivering quality client service. This role offers competitive compensation and fosters a supportive workplace culture.

Benefits

Competitive compensation

Inclusive benefits

Flexible work programs

Qualifications

• Hands-on experience developing analytics solutions.
• Proficiency in developing data pipelines on cloud platforms.
• Experience with data analytics and visualization tools.

Responsibilities

• Craft impactful messages that tell a holistic story.
• Apply systems thinking to identify underlying problems.
• Lead the team through complex situations.

Skills

Data engineering

Data integrations

Analytics solutions

Cloud platforms (Azure, AWS, Google Cloud)

Data modeling

SQL Server & Oracle

Tableau & Power BI

Python programming

Machine learning libraries

Education

Data engineering certification

Tools

SQL Server

Azure Synapse

Redshift

Job description

At PwC, our data and analytics engineering team focuses on leveraging advanced technologies 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.

As a Senior Manager, Data Engineering, you'll work as part of a problem-solving team to address business issues, deliver high-quality client service, and improve operational efficiency. Responsibilities include:

• Crafting clear, impactful messages that tell a holistic story.
• Applying systems thinking to identify underlying problems or opportunities.
• Validating outcomes with clients and sharing alternative perspectives.
• Leading the team through complex and ambiguous situations.
• Deepening your expertise to stay relevant.
• Initiating open coaching conversations at all levels.
• Making difficult decisions to resolve team issues.
• Modeling professional and technical standards, including PwC's code of conduct and independence requirements.

Required experiences and skills include:

• Hands-on experience as a data engineer developing analytics solutions.
• Technical expertise in data integrations, models, mining, and warehousing.
• Proficiency in developing data pipelines on cloud platforms such as Azure, AWS, or Google Cloud.
• Experience with data modeling and management tools like SQL Server, Oracle, Azure Synapse, Redshift, and others.
• Proficiency in data analytics and visualization platforms like Tableau, Power BI, or Qlik.
• Knowledge of machine learning libraries in Python, Spark, and AI frameworks is an asset.
• Proficiency in programming languages such as Python, R, JavaScript, and frameworks like React or Node.js is an asset.
• Data engineering certification is a plus.

Why you'll love PwC:

We empower our people to make a difference using the latest technology, working in diverse teams to build trust and deliver meaningful outcomes. Our environment supports your career growth, rewards your impact, and promotes wellbeing through competitive compensation, inclusive benefits, and flexible programs. Learn more about our application process and total rewards at: https://jobs-ca.pwc.com/ca/en/life-at-pwc

PwC Canada acknowledges the land of the First Nations, Métis, and Inuit Peoples and commits to allyship and reconciliation. We are dedicated to an inclusive community where everyone belongs, reflecting the society we serve.

We provide accommodations throughout the application and employment process. Please let us know if you require assistance during this process.