Job Description
Purpose. Performance. People.
Joining CPP Investments means joining one of the world’s most admired and respected institutional investors to drive a single mandate: to deliver strong, sustainable returns for generations of Canadians.
With a long-term horizon and global reach, we deploy capital at scale across public and private markets. Our size, stability, and disciplined investment philosophy allow us to pursue complex opportunities and build enduring partnerships worldwide.
For our people, this means meaningful work with tangible impact, real opportunity, and collaboration with exceptional colleagues who value partnership and performance. Here, you’ll contribute to outcomes that matter alongside team members committed to excellence and shared success.
Role Summary:
As a Senior Data Engineer, you will lead pieces of work focused on developing, constructing, testing, and maintaining Enterprise Data and large-scale processing systems. You will drive engineering excellence and continuous improvement within your team applying data engineering best practices to support the organization's data initiatives and contribute to the enhancement of Enterprise Data Products.Accountabilities & Qualifications:
Core Accountabilities
Design, build, test and support medium complexity technology solutions or enhancements with independence, to enable business capabilities, in an Agile environment that includes business and T&D partner teams.
Apply advanced understanding of engineering best practices and drive continuous improvement across the team through coaching and influencing
Demonstrate a sufficient understanding of the technical landscape and the business capabilities it supports to apply critical thought to business requests
Foster and enable agility and innovation through experimentation and early feedback ensuring responsiveness to evolving business needs
Succinctly frame problems, engage appropriately with colleagues to think deeply about broad problems and gain buy-in on well-reasoned recommendations
Facilitate root-cause-analysis of
operational incidents impacting the products you support
Demonstrate ability to independently research and master new complex technologies · Adhere to Agile SDLC and execute related duties as required.
Foster collaboration and mentorship promoting a culture of feedback, learning and professional growth
Maintain strong relationships with business partners, peer IT teams and vendor partners
Qualifications
If you possess the following, we’d like to hear from you:
Undergraduate degree or college diploma in related field (e.g. Engineering, Computer Science).
5+ years of relevant experience with building data pipelines using Apache Spark, Airflow and AWS ecosystem
Extensive experience working with various programming languages (Python, C++, Java, etc.) · Experience with software development concepts, including version control, testing methodologies, and agile development practices
Ability to write clean, readable, and well-documented code, while paying attention to details and adhering to coding standards
You are motivated to contribute to something larger than yourself, approach complex challenges with rigor, and hold yourself to high standards in a collaborative, performance-driven environment.
Inclusion & Accessibility
CPP Investments is committed to equitable access to employment and building a workforce that reflects diverse talent and perspectives. If you require accommodation at any stage of the recruitment process, please let us know and we will work with you to meet your needs.
Attention: Protect Yourself from Fraud
CPP Investments is committed to a secure and transparent recruitment process. We will never ask candidates for payment or financial information at any stage of hiring. All legitimate opportunities are posted on our careers page, and communications will come from our applicant tracking system, Workday.
CPP Investments may use AI tools to help screen and assess applicants by analyzing resumes and applications for relevant skills and experience. These tools support, but do not replace, human decision-making.
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