Design, develop, and optimize data pipelines to process structured & unstructured data at scale
Build and maintain data models (fact, dim, SCD2, medallion/layered, marts)
Create reports and dashboards to support business performance analysis
Partner with product, data science, and analytics teams to enable AI-powered features
Support data architecture transformation & migration on Databricks
Troubleshoot and resolve data quality/performance issues quickly
Optimize queries and enforce best practices for reliability and velocity
Drive continuous improvement of workflows through automation and experimentation
Own projects end-to-end: planning → execution → delivery

5+ years of software/data engineering experience
Expertise in SQL (window functions, CTEs, complex joins)
Intermediate–advanced Python (OOP, testing, package mgmt)
Experience with Databricks (streaming, Unity Catalog, resource mgmt)
Experience with Spark (partitioning, skew handling, delta ops, Spark UI)
Strong knowledge of data modeling & architecture
Experience with DBT, Airflow, Kafka, API/S3 ingestion
Comfort with deploying/monitoring ML models in production (batch, streaming, real-time inference)
Ability to explain technical concepts clearly to non-technical teammates
Ownership mindset: self-driven, proactive, accountable

Ownership & Savings: Stock options + TFSA/RRSP with 4% company match
Health & Wellness: Comprehensive medical, dental, and vision for you and your dependents
Time Flexibility: Flex time off + company holidays + designated focus periods
Family Support: Maternity/Parental Leave EI top-up support offered (after 6 months of service)
Work Your Way: Work From Anywhere Month + meeting-free weeks yearly
Protection Plans: Life insurance + short/long-term disability coverage
Workspace Perks: Meals provided, team offsites, and Customer Days

Data Engineer

Key skills