Data Engineer, Senior Associate

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics.

We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology.

We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

As part of our Data Science and Machine Learning team, you will design, build, and optimize systems for data collection, storage, access, and analytics at scale.

This includes Machine Learning, Deep Learning, and Artificial Intelligence Model Design and Construction, responsible for developing, programming and training the complex networks of algorithms that make up Machine Learning, Deep Learning, and Artificial Intelligence to develop applications and systems.

You will work on client engagements related to research and development across a wide range of domains including understanding and improving Machine Learning, Deep Learning, and Artificial Intelligence, addressing bias and fairness in algorithms, embodied and interactive solutions on GCP, Azure and AWS.

We are seeking a highly skilled and innovative Data Engineer to join our fast-growing dynamic Cloud & Data team. As a Data Engineer Senior Associate, you will play a pivotal part in designing, developing, and maintaining data related projects, enabling our client to deploy analytics, advanced analytics and AI models.

As a Data Engineer, Senior Associate, you'll work as part of a team of problem solvers, helping to solve business issues, deliver high quality client service and operational efficiency.

Responsibilities include but are not limited to :

Meaningful work you'll be part of

• Data Integration : Design and implement processes for data acquisition, storage, transformation, and retrieval from various sources, ensuring data quality and integrity but also seamless integration of large-scale datasets allowing our clients to fully leverage the value of their investment into their Data Lake and alike.
• Automation : Develop and implement automated processes for data extraction, transformation, and loading (ETL), reducing manual intervention and enhancing reliability via leading practice on data pipeline orchestration
• Mentorship : Provide guidance and mentorship to junior data engineers and peers, fostering a culture of continuous learning and development within the team
• Security and Compliance : Ensure that data handling practices comply with industry standards and regulations, maintaining the highest levels of data security and privacy.
• Collaboration : Work closely with our clients business stakeholder, their data engineer and data scientists, AI researchers, and software engineers
• Innovation : Stay abreast of the latest advancements in data engineering, AI, and machine learning technologies, and apply this knowledge to improve our clients data infrastructure and capabilities.

Experience and skills you'll use to solve

• Progressive experience in data engineering with a strong focus on building and managing large-scale data infrastructures.
• Proficiency in SQL, Python, and relevant data engineering frameworks and tools (e.g., Apache Spark, Hadoop). Ideally some hands-on experience in key Python libraries such as Pandas, NumPy, Scikit-Learn, PySpark , TensorFlow, PyTorch , SQLAlchemy , and Dask
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Familiarity with containerization technologies (e.g., Docker, Kubernetes) and CI / CD pipelines.
• Problem-Solving : Strong analytical and problem-solving skills, with the ability to think critically and creatively.
• Communication : Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
• Ability to work independently and in a team.
• The successful candidate requires fluency in English, in addition to French as they will be required to support or collaborate with English-speaking clients, colleagues and / or stakeholders during the course of their employment with PwC Canada.

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 a bout our Application Process and Total Rewards Package at : https : / / jobs-ca.pwc.com / ca / en / life-at-pwc

The most connected firm through activity based working

PwC Canada is committed to cultivating an inclusive, hybrid work environment - one that is collaborative, supportive and productive.

We work in-person and virtually, as is best suited for our clients, teams and people . We want you to be intentional with your work, how you do it and where it's done.

PwC offices are hubs of connectivity and learning. We strongly encourage our people to prioritise in-person work, whether it's in the office or at a client site.

This means we expect you to be in-person (either with clients or in the office) at least half of your time. We know that hybrid work is all about balance, and capturing the benefits of in-person work is essential to your growth at the firm.

Exact expectations for your team can be discussed with your interviewer.

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.