Data Engineer

ARE YOU INTERESTED IN A WORKPLACE THAT HAS...

Flexible Hybrid Work Environment 💻

Retirement Savings Matching Plan (RRSP). Plan for your future with us! 💸

Personal Spending Account 💰

Up to $500 to spend on anything related to physical, mental or financial well-being (in addition to your Health Care Spending Account)

Summer Hours 🌞

Start your weekend earlier during the summer months!

17 Paid Days Off (in addition to 13 Personal Days) 🌅

This includes an extra day off during the month of your birthday 🍰- our gift to you!

An IDEAS (Inclusion, Diversity, Equity, Awareness, Solidarity) team ⚖️

Weather is inclusive, we will be too. Our IDEAS team is committed to making this happen!

📣HAVE WE GOT YOUR ATTENTION? WANT TO LEARN MORE?

Read about us here! (spoiler alert… we are the home of The Weather Network )📍

Proud to share that we ranked #5 Most Admired Company in Canada in Leger’s 2026 Reputation Study, among 334 organizations

WHY WE NEED YOU? GLAD YOU ASKED...

At Pelmorex, we’re on a mission to transform weather and environmental data into decision-grade insights for businesses and consumers. Our B2B products help organizations make smarter, safer, and more profitable decisions.

To support this mission, we’re growing our Engineering Insights team and investing in a scalable data analytics and insights platform. We’re looking for a Senior Data Engineer who doesn’t just move data, but understands how data quality, latency, and design decisions directly impact products, customers, and business outcomes.

The OpportunityYou will play a foundational role in architecting and building the data systems and analytics capabilities that power multiple B2B products. Your work will directly shape how data is ingested, validated, transformed, and consumed across our B2B product portfolio, ensuring it is reliable, scalable, and decision-ready for our customers. In this role, you’ll collaborate closely with a small, entrepreneurial team of Engineers, Product Managers, and Data Scientists to turn raw data into real-world impact.

Please note, we are only considering candidates who are eligible to work in Canada and can work in a Hybrid model at our Oakville or Montreal location.

WHAT DOES THE DAY-TO-DAY LOOK LIKE

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Build the Backbone: You will develop and maintain ETL/ELT pipelines using modern distributed compute frameworks such as Apache Beam and Snowpark.

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Orchestrate Complex Workflows: You will build, monitor, and optimize data workflows using tools like Apache Airflow, Google Workflows, and Snowflake Tasks.

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Manage Cloud Data Platforms: You will implement and optimize data models and storage across BigQuery, Snowflake, PostgreSQL, and Google Cloud Storage to ensure scalable and efficient data solutions.

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Own Data Quality & Rigor: You will implement robust data validation frameworks, write unit/integration tests for data pipelines, establish CI/CD, and set up proactive monitoring for data integrity and system health.

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Optimize Performance: You will help improve data system performance, reduce costs, and increase reliability.

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Collaborate Across Teams: You will partner with Engineers, Product Managers, and Data Scientists to deliver high-quality data solutions that support business needs.

WE ARE HOPING YOU HAVE

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Education

• Bachelor’s or Master's degree in Computer Engineering, Software Engineering, Computer Science, or an equivalent technical field.
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Experience & Ownership

• 2-5 years of professional experience in Data Engineering with hands-on experience building and supporting production data systems at scale.
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Data Fundamentals

• Solid understanding of ETL/ELT patterns, data modeling, partitioning strategies and pipeline design.
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Cloud Expertise

• Experience deploying, managing, or supporting data workloads in the cloud (GCP preferred).
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Coding Fundamentals

• Strong proficiency in Python and SQL. Experience writing clean, modular, and maintainable code optimized for heavy data processing.
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Engineering Rigor

Strong commitment to automated pipeline testing, continuous integration, comprehensive documentation, and proactive system observability.

NICE TO HAVE

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Experience working with high-volume geospatial, weather, or time-series datasets.

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Familiarity with containerized environments (Docker, Kubernetes) and managing data workloads on cloud compute (e.g., Cloud Run, GKE).

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Exposure to infrastructure-as-code principles (e.g., Terraform)

DON’T MEET ALL THE REQUIREMENTS? DON’T WORRY…

Not all applicants will have skills that match a job description exactly. Pelmorex values and welcomes diverse experiences. While having “desired” qualifications makes for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Pelmorex. We are always looking for people who will be a culture add (yup, that's right, we don’t subscribe to culture fit, we want you to add to what we think is an amazing culture and work environment

INTERESTED? IT GETS BETTER….

• Course Reimbursement Program 📚 We want you to keep learning, so we can too
• Open and transparent communication, including All Hands Meetings with our CEO
• Pelmorex Learning Academy 🏫
• Your mental health is important to us! 🧠 We partner with Inkblot for virtual counseling sessions
• Frequent employee pulse surveys 📝 we value your feedback so we can continue to make Pelmorex a great place to work!
• Free online doctor visits 👩‍⚕️ with Maple Online Healthcare
• While we encourage 1:1 conversations, we recognize that not everyone is comfortable with speaking up 🗣 We have an anonymous reporting platform to ensure everyone’s voice is heard