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
Architect for Scale: You'll define the blueprints for high-scale data systems where quality and latency are the primary constraints.
Build the Backbone: You will engineer robust ETL/ELT pipelines leveraging modern distributed compute frameworks such as Apache Beam and Snowpark.
Orchestrate Complex Workflows: Youwill design, monitor, and optimize sophisticated workflows using tools like Apache Airflow, Google Workflows and Snowflake Tasks.
Optimize Global-Scale Storage: You will design and fine-tune high-performance cloud storage solutions across BigQuery, Snowflake, PostgreSQL and GCS, optimizing for cost, performance, and reliability.
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.
Technical Leadership: You will drive technical design discussions, influence core data architecture choices, and mentor team members on data engineering best practices
WE ARE HOPING YOU HAVE
EducationBachelor’s or Master's degree in Computer Engineering, Software Engineering, Computer Science, or an equivalent technical field.
Experience & Ownership5+ years of professional experience in Data Engineering with demonstrated ownership of production data systems at scale.
Data MasteryDeep understanding of ETL/ELT patterns, data modeling, partitioning strategies, idempotent pipeline design, and cost-aware storage design and compute optimization.
Cloud ExpertiseProven ability to deploy and manage production data workloads in the cloud (GCP preferred).
Coding FundamentalsAdvanced proficiency in Python and SQL. Experience writing clean, modular, and maintainable code optimized for heavy data processing.
Engineering RigorStrong commitment to automated pipeline testing, continuous integration, comprehensive documentation, and proactive system observability.
NICE TO HAVE
Experience working with high-volume geospatial, weather, or time-series datasets.
Familiarity with containerized environments (Docker, Kubernetes) and managing data workloads on cloud compute (, Cloud Run, GKE).
Exposure to infrastructure-as-code principles (, Terraform)
INTERESTED? IT GETS BETTER….
Senior Data Engineer, Hybrid • Oakville, Canada
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