Senior Developer, Data Analytics Delivery

PSP Investments | Investissements PSP; Montreal (administrative region); Hybrid; CAD 90,000 - 130,000; Full time

Benefits offered by this job

Career development

Insurance plans

Pension plans

Virtual healthcare

Family leave policy

Family-building support

Vacation days from day one

Hybrid work model

Job summary

PSP Investments | Investissements PSP is seeking a Senior Developer, Data Analytics Delivery to build and operate data pipelines and analytics products. You will collaborate with analysts, product owners and designers to understand source systems and business rules, delivering scalable analytics solutions.

The role emphasizes DevOps practices, data modeling, agile development, and proficiency with Azure, Snowflake, Databricks, Fabric and PowerBI while using AI tools to enhance delivery.

Qualifications

• Bachelor’s degree in computer science or equivalent.
• At least 5 years of software development and/or data engineering experience.
• Strong knowledge of Azure, Snowflake, Databricks and/or Fabric.
• Strong knowledge of DevOps best practices.
• Good data modeling skills and understanding of semantic models.
• Experience within an Agile team, using Scrum methodology.
• Knowledge of PowerBI.
• Bilingual English and French.

Responsibilities

• Contribute to the whole lifecycle of the development of data pipelines and data products.
• Work closely with analysts, product owners & solution designers to identify and understand source data systems and business rules in analytical solutions.
• Collaborate and share ideas with peers to empower continuous improvement of our Data and Analytics Platform.
• Ensure quality in the delivery and documentation of development activities including rigorous testing while respecting patterns.
• Utilize and recommend the proper AI tools and agents in all areas of the job.

Skills

Software development

Data engineering

Data modeling

Agile / Scrum

DevOps

PowerBI

Bilingual EN/FR

Education

Bachelor’s degree in Computer Science

Tools

Azure

Snowflake

Databricks

Fabric

Job description

About Us

We’re one of Canada’s largest pension investors, with CAD$320.6 billion of net assets as of March 31, 2026. We invest funds for the pension plans of the federal public service, the Canadian Forces, the Royal Canadian Mounted Police and the Reserve Force. Headquartered in Ottawa, PSP Investments has its principal business office in Montréal and offices in New York, London and Hong Kong. Capturing and leading complex global investments requires us to work as one to seize valuable opportunities, in close collaboration with some of the world’s top companies. At PSP Investments, you’ll join a team of motivated and engaged professionals, dedicated to propelling our organization further than ever before.

About The Team

As a member of the Data Analytics Delivery team, the Senior Developer, Data Analytics Delivery will ensure that the various business stakeholders’ needs are met while maintaining the alignment with the Data Analytics platform / TDO architecture objectives. The incumbent will be responsible for building modern cloud data application, data pipelines and deployment pipelines to deliver an effective analytics experience by facilitating access to data and enabling data driven decision. At PSP, we embrace people that are eager to learn, ideate, and innovate: people who strive for excellence, challenge the status quo and seek alternative perspectives.

About Your Role

• Contribute to the whole lifecycle of the development of data pipelines and data products
• Work closely with analysts, product owners & solution designers to identify and understand source data systems as well as business rules in analytical solutions
• Collaborate and share ideas with peers empowering the continuous improvement of our Data and Analytics Platform
• Ensure quality in the delivery and documentation of development activities including rigorous testing while respecting patterns
• Utilize and recommend the proper AI tools and agents in all the areas of your job

What You’ll Need

• Bachelor’s degree in computer science and/or the equivalent combination of education and experience
• At least 5 years of software development and/or data engineering experience
• Strong knowledge Azure, Snowflake, Databricks and/or Fabric
• Strong knowledge of DevOps best practices
• Good data modeling skills, understanding of semantic models and their use
• Experience within an Agile team, in a Scrum methodology
• Knowledge of PowerBI
• Bilingualism: English and French (frequent interactions in English with PSP employees based in our offices in Hong Kong, London and New York, and interactions in French with employees in our local offices in Montreal and Ottawa)

We offer a tailored employee experience and competitive total rewards and benefits package* designed to attract and retain global diverse talent, reward performance, and reinforce business strategies and priorities. Beyond salary and incentive pay eligibility, you have access to:

• Investment in career development
• Comprehensive group insurance plans
• Competitive pension plans
• Unlimited access to virtual healthcare services and wellness programs
• Gender-inclusive paid family leave policy: up to 26 weeks for primary caregivers, 5 weeks for secondary caregivers
• A personalized family-building support, from pre-pregnancy to menopause, with available financial assistance
• Vacation days available on day one with additional days on milestone service anniversaries, and summer Friday afternoons off
• A hybrid work model with a mix of in-office and remote days
• Benefits package may vary based on your employee type.

At PSP Investments, we aim to provide a workplace where everyone feels valued, safe, respected and empowered to grow. As part of this leadership commitment, we strongly encourage applications from all qualified applicants and strive to offer an inclusive and accessible candidate experience. If you require any accommodation for any part of the recruitment process, please let us know.

Visit us on www.investpsp.com/en/

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