Make an impact at a global and dynamic investment organization
When you join CPP Investments, you are joining one of the world’s most admired and respected institutional investors. As a professional investment management organization, CPP Investments invests the funds of the Canada Pension Plan (CPP) to help ensure its financial sustainability for generations of working and retired Canadians.
CPP Investments invests across regions and asset classes to build a globally diversified portfolio. It holds assets in public equity, private equity, real estate, infrastructure, and fixed income, and the CPP Fund is projected to reach $3.6 trillion in assets by 2050. The organization is headquartered in Toronto with offices in Hong Kong, London, Mumbai, New York City, San Francisco, São Paulo, and Sydney.
CPP Investments successfully attracts, selects, and retains talented individuals from top-tier institutions worldwide. Join our team for access to:
- Stimulating work in a fast-paced and intellectually challenging environment
- Accelerated exposure and responsibility
- Global career development opportunities
- Diverse and inspiring colleagues and approachable leaders
- A hybrid-flexible work environment with an emphasis on in-person collaboration
- A culture rooted in principles of integrity, partnership, and high performance
- An organization with an important social purpose that positively impacts lives
If you have a passion for performance, value a collegial and collaborative culture, and approach work with the highest integrity, invest your career here.
Job DescriptionWelcome to an exciting opportunity to join our dynamic and forward-thinking Data Engineering team! At CPP Investments, we are at the forefront of leveraging cutting-edge technologies to drive innovation and excellence in data solutions. As a Senior Data Engineer, you will be an integral part of our mission to transform data into actionable insights, empowering our organization to make data-driven decisions with precision and agility.
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:
- Own aspects of designing, building, and maintaining scalable and efficient data pipelines to Data Products from various sources to storage and analytical systems.
- Provide on-call support for production systems, identify and create automation for reducing MTTR and mature operational runbooks.
- Help implement processes and tools to monitor and improve data quality, including data profiling, data freshness, and ensuring SLA adherence.
- Partner with Data Governance team to establish data governance policies and procedures to ensure data accuracy, privacy, and security.
- Advocate and drive adoption of DevOps & QE culture, supporting presentations in various internal forums and sessions on product releases, best practices, and provide consulting, guidance, and implementation assistance to users/application teams.
- Collaborate with cross-functional teams such as data scientists, analysts, and software engineers to understand data requirements and deliver solutions that meet business needs.
- Stay updated on emerging technologies, trends, and best practices in data engineering and related fields. Continuously evaluate and adopt new tools and techniques to enhance productivity and innovation.
- Undergraduate degree or college diploma in related field (e.g. Engineering, Computer Science).
- 4+ years of relevant experience.
- Experience working with Big Data, including change data capture. data quality, data lineage, etc.
- Solid programming skills with professional programming experience in AWS Data & Analytics context (EMR, Glue, Lakeformation, Airflow, PySpark, Trino, Hudi, Iceberg)
- Expertise with data quality principles, data profiling techniques, and data governance best practices.
- AWS Certified Data & Analytics Specialty
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At CPP Investments, we are committed to diversity and equitable access to employment opportunities based on ability.
We thank all applicants for their interest but will only contact candidates selected to advance in the hiring process.
Our Commitment to Inclusion and Diversity:
In addition to being dedicated to building a workforce that reflects diverse talent, we are committed to fostering an inclusive and accessible experience. If you require an accommodation for any part of the recruitment process (including alternate formats of materials, accessible meeting rooms, etc.), please let us know and we will work with you to meet your needs.
Disclaimer:
CPP Investments does not accept resumes from employment placement agencies, head-hunters or recruitment suppliers that are not in a formal contractual arrangement with us. Our recruitment supplier arrangements are restricted to specific hiring needs and do not include this or other web-site job postings. Any resume or other information received from a supplier not approved by CPP Investments to provide resumes to this posting or web-site will be considered unsolicited and will not be considered. CPP Investments will not pay any referral, placement or other fee for the supply of such unsolicited resumes or information.
