Engineer, Public & Alternative Investments, Data Platforms

Our Public & Alternative Investments Data Platforms team integrates diverse vendor data sources, builds robust and scalable data pipelines, and delivers strategy-neutral, enriched, and centrally governed data products that empower investment decision-making and research across both Public Markets and Alternative Assets.

We also develop comprehensive carbon emissions datasets that help advance the Fund’s commitment to sustainable investing, enabling the integration of environmental insights into portfolio analysis and decision-making.

As a Data Engineer, you will assist in developing, constructing, testing, and maintaining Enterprise Data systems. You will contribute to ensuring engineering excellence and continuous improvement within your team. Working closely with senior engineers, you will apply various data engineering techniques to support the organization's data initiatives and contribute to the enhancement of Enterprise Data Product’s data quality and reliability.

Accountabilities:

• Support with the design and implementation of scalable and robust Enterprise Data Products, using Data Foundation to ensure smooth data flow and minimal latency.
• Provide on-call support for production systems and resolve any data-related issues. Help monitor and optimize data pipelines to enhance performance and reliability, maturing operational runbooks and triaging incidents as they arise to maintain uninterrupted data processing.
• Collaborate with data product owners and other stakeholders to optimize data systems and uphold data security, quality, and governance practices.
• Engage in knowledge sharing activities, such as code reviews and documentation updates, to foster a culture of continuous learning and improvement within the organization.
• Perform detailed analysis of both structured and unstructured datasets using the latest technology.

• Undergraduate degree or college diploma in related field (e.g. Engineering, Computer Science). 
• 3+ 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)
• AWS Certified Data & Analytics Speciality

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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.