Senior Data Engineer — Hybrid Cloud Data Platform

Kinvie; Toronto; Hybrid; CAD 120,000 - 143,000; Full time

Benefits offered by this job

Health & wellbeing resources and progr

Paid vacation, personal, and sick days

Competitive compensation and benefits

Hybrid environment with at least 3 in‑

Career growth and development

Community causes

Diverse, inclusive team

Job summary

QFG is hiring a Senior Data Engineer to own design, development, and operational excellence of scalable data pipelines and modern data platform infrastructure. You will work in a fast-paced, Agile environment across brokerage data, analytics, and governance initiatives.

The role requires 5+ years of data engineering experience, strong SQL/Python, and hands-on cloud data warehousing with GCP services. Hybrid work with in-office days and collaboration across product and engineering teams are

Qualifications

• Bachelor’s degree in CS, software engineering, information systems, or equivalent practical experience.
• 5+ years of progressive data engineering experience with production-grade pipelines.
• Advanced proficiency in SQL and Python for data engineering, automation, and transformations.
• Hands-on experience with distributed data processing using Google Cloud Dataproc and/or Apache Spark.
• Experience running data processing workloads on Kubernetes (containerization, scheduling, resource scaling).
• Hands-on experience with cloud data warehousing and orchestration platforms (GCP services such as BigQuery, Cloud Composer/Airflow, Dataflow, Pub/Sub, Databricks).
• Experience with dbt for data modeling, transformation, and automated testing.
• Experience with Terraform for IaC to provision and manage cloud infrastructure.
• Strong knowledge of relational and non-relational databases (MSSQL, PostgreSQL, CloudSQL).
• Experience with CI/CD pipelines, automated testing frameworks, and Git version control.

Responsibilities

• Lead design, development, and optimization of scalable batch and real-time data pipelines (ETL/ELT).
• Architect modular data models and dbt transformations with automated testing and lineage.
• Build and scale Spark workloads on Kubernetes for brokerage data.
• Provision and manage cloud data infrastructure using Terraform with CI/CD automation.
• Ensure data reliability, observability, and incident resolution across the stack.
• Enforce data governance, lineage, access control, and metadata cataloging.
• Collaborate with Product Managers, Solution Architects, and Engineers to deliver data products.
• Mentor junior engineers and enforce coding and deployment standards.

Skills

SQL

Python

Kubernetes

GCP

Spark

ETL/ELT

Data modeling

CI/CD

Data warehousing

Education

Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or equivalent

Tools

dbt

Terraform

BigQuery

Airflow

Dataproc

Pub/Sub

Databricks

Job description

QFG is hiring a Senior Data Engineer to own design, development, and operational excellence of scalable data pipelines and modern data platform infrastructure. You will work in a fast-paced, Agile environment across brokerage data, analytics, and governance initiatives.

The role requires 5+ years of data engineering experience, strong SQL/Python, and hands-on cloud data warehousing with GCP services. Hybrid work with in-office days and collaboration across product and engineering teams are