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Senior data engineer, retirement operations
Senior data engineer supporting Manulife's North America Retirement organization in Montreal (hybrid). Day to day: design, build and monitor cloud data pipelines, lakehouse/warehouse platforms and data models, plus MLOps support, on Azure (Data Factory, ADLS, Databricks) using SQL, PySpark and Git.
Senior Data Engineer, Retirement Operations
Senior data engineer on Manulife's North American Retirement team in Montréal (hybrid): building, testing, and monitoring cloud data pipelines, models, and platforms to support analytics, reporting, and ML use cases. Core stack is SQL, PySpark, and Azure (Data Factory, ADLS, Databricks).
Senior Data Engineer, Retirement Operations
Senior Data Engineer supporting Manulife's North American Retirement organization: building and monitoring cloud-based data pipelines, models, and platforms (warehouses, lakes, lakehouses) for analytics, reporting, and ML use cases. Core stack is SQL, PySpark, Git, and Azure (Data Factory, ADLS, Databricks). Hybrid role in Montréal.
Data Engineer in Wealth Management
Staff Data Engineer at RBC Wealth Management in Toronto, building and maintaining production-grade data pipelines, APIs, and data quality frameworks to power AI and BI solutions. Core stack includes Python, SQL, Databricks, Snowflake, and Spark.
Data Engineer - Analytics Platform
Data Engineer on Faire's Analytics Platform team, building and operating ETL/ELT pipelines, data warehousing, BI integrations, and AI-powered analytics tooling to reduce time from data to insights across the marketplace. Core stack: Python, SQL, AWS, Snowflake, Airflow, Spark.
Data Engineer, Mapping
Data Engineer on Lyft's Mapping team in Toronto: build and scale data pipelines and services that power route simulation, travel-time estimation, experimentation, and ML models. Core stack includes AWS, Kubernetes, Airflow, Spark, SQL, and geospatial data tooling.
