Manager, Data Engineering
Toronto - 18 York Street, Canada
PwC
We are a community of solvers combining human ingenuity, experience and technology innovation to help organisations build trust and deliver sustained outcomes.Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Technology StrategyManagement Level
ManagerJob 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.Meaningful work you’ll be part of
As a Manager, Data Engineering you’ll work as part of a team of problem solvers, helping to solve business issues, deliver high quality client service and operational efficiency.
Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
Responsibilities include but are not limited to:
- Analyse and identify the linkages and interactions between the component parts of an entire system.
- Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
- Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
- Develop skills outside your comfort zone, and encourage others to do the same.
- Effectively mentor others.
- Use the review of work as an opportunity to deepen the expertise of team members.
- Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
- Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
Experiences and skills you’ll use to solve
- Significant hands-on experience working as a data engineer developing analytics solutions
- Technical expertise in developing data integrations, data models, data mining, and data warehousing
- Proficiency in developing data pipelines on cloud platforms such as Azure, AWS or Google Cloud
- Proficiency in one or more of the following data modelling/ data munging/ data management tool sets such as SQL Server, Oracle DB, Azure Synapse, Redshift, Alteryx, Databricks, Azure Data factory, AWS Glue, Informatica, Collibra, Denodo etc.
- Proficiency in data analytics and visualization platforms such as Tableau, Microsoft Power BI, or Qlik
- Proficiency in common machine Learning libraries in Python, Spark, and Deep Learning/AI frameworks considered an asset
- Proficiency in any of the following programming languages, frameworks and technologies: JavaScript, React, Node.JS, Python, R, D3.JS, open source databases such as PostgreSQL, MySQL, MongoDB considered an asset
- Data engineering certification is a plus
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, Big Data, C++ Programming Language, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, Data-Driven Decision Making (DIDM), Data Engineering, Data Lake, Data Mining, Data Modeling, Data Pipeline, Data Quality, Data Science, Data Science Algorithms, Data Science Troubleshooting, Data Science Workflows, Deep Learning, Embracing Change, Emotional Regulation {+ 22 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob 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.Chez PwC Canada, notre atout le plus précieux, c’est notre personnel. Et c’est 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 l’expérience peut prendre diverses formes et, pour nous, donner confiance au public et résoudre des problèmes importants n’est 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 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.Pour en savoir plus sur l’inclusion et la diversité chez PwC Canada: https://www.pwc.com/ca/fr/about-us/diversity-inclusion.html. Faites partie de La Nouvelle équation.* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS AWS Glue Azure Big Data D3 Data analysis Data Analytics Databricks Data management Data Mining Data pipelines Data quality Data Warehousing Deep Learning Engineering GCP Google Cloud Informatica JavaScript Machine Learning MongoDB MySQL Node.js Open Source Oracle Pipelines PostgreSQL Power BI Python Qlik R React Redshift Spark SQL Tableau
Perks/benefits: Career development Competitive pay
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