Data Engineer, Senior Associate – Azure

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 Engineering team, you will create data pipelines and data structures utilizing modern data technology, engineering process, and languages. You will be responsible for helping organizations migrate and modernize data platforms in support of enterprise analytics, intelligent applications, and machine learning initiatives.
Meaningful work you’ll be part of
•Data Integration: Support in designing and implementing 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: Partake in developing and implementing automated processes for data extraction, transformation, and loading (ETL), reducing manual intervention and enhancing reliability via leading practice on data pipeline orchestration
•Security and Compliance: Help 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 internal teams and clients’ business stakeholders, 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
•Experience working on data engineering projects in an enterprise setting while working with a variety of data and analytic platforms, databases, analytic/BI tools (Azure, Fabric, Databricks)
•Experience in migrating data platform applications from on-prem to Azure Data Platforms and Databricks
•Experience with multiple integration/ETL patterns: batch, streaming, API/microservices
•Data integration/data ingestion across structured and unstructured data sources, along with various enterprise applications
•Working knowledge of modern data architecture and platforms: cloud, data mesh, data lakehouse, delta lake
•Working knowledge of SQL language, proficiency with Python, Spark/Scala or Java
•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

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

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. 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.