Senior Data Engineer (Google Cloud)

TL;DR

Senior Data Engineer (Google Cloud): Building and optimizing non-interactive and real-time data pipelines with an accent on fault-tolerant systems, data transformation, and performance tuning. Focus on implementing advanced BigQuery solutions, data quality gates, and cost optimization for distributed data environments.

Location: Remote (Canada, specifically Ontario, Vancouver, or Québec)

Salary: CAD $90,000–$140,000 annually

Company

hirify.global is an experience innovation company that helps leading global brands transform through digital solutions at the intersection of data, AI, creativity, and technology.

What you will do

• Build and support highly available batch and real-time data pipelines.
• Implement and maintain dbt transformation models, CI pipelines, and data contracts.
• Tune queries over billions of rows and optimize BigQuery cost and performance.
• Perform root cause analysis to identify permanent resolutions to software or business process issues.
• Build and monitor data quality gates (Great Expectations) and freshness SLOs.
• Implement platform hardening controls including retries, dead-letter queues, and DR runbooks.

Requirements

• Must be an applicant from the provinces of Ontario, Vancouver, or Québec, Canada.
• Strong expertise in Python and advanced SQL (nested fields, analytic functions).
• Hands-on experience with Core GCP Data Stack: BigQuery, Dataflow (Apache Beam), and Pub/Sub.
• Strong proficiency in building reliable batch and incremental pipelines for GA4/Google Ads data into BigQuery, with streaming patterns used when near-real-time alerting is required.
• Hands-on experience with Looker Core, including LookML, semantic modeling, and dashboard creation.
• Ability to independently own workstreams while collaborating closely with data science, analytics, and engineering peers in agile delivery.
• Advanced English skills required.

Nice to have

• Google Cloud Professional Data Engineer, Machine Learning Engineer, or Cloud Architect certifications.
• Bachelor’s or Master’s degree in a quantitative or technical field (e.g., Computer Science, Engineering, Statistics).
• Working knowledge of cloud architecture components in GCP.
• Proficiency in Big Data environments and tools such as Spark, Hive, Impala, or Pig.
• Proficiency in Terraform.
• Familiarity with front and back-end web application stacks and frameworks, and API design and usage (REST/GraphQL).
• Experience leading and managing technical data/analytics/machine learning projects.
• Experience supporting data products consumed by conversational analytics surfaces.

Culture & Benefits

• Comprehensive insurance plan with employer contribution (Gold, Silver, or Bronze options).
• Virtual healthcare services via Dialogue by Sun Life, plus Employee and Family Assistance Program and mental health support.
• $500 Personal Spending Account for healthcare reimbursements, gym memberships, public transit, office supplies, or RRSP contributions.
• Retirement plan with 100% RRSP match (up to 4%) through a Deferred Profit Sharing Plan (DPSP) after 3 months.
• Flexible vacation under hirify.global's policy, with 5 days available during probation.
• $30/month Personal Technology Reimbursement.
• Company closure during winter holidays and flexible scheduling throughout the year.

Hiring process

• Talent Acquisition team reviews your application.
• Interview process for aligned skills and experience.
• CV should cover key relevant experiences and expertise, without personal details like age, gender, or headshot.
• Reasonable accommodations during the interview process are available upon request.