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GCP Senior Data Engineer

  • Canada
  • On-site
  • Posted Oct 2, 2026
  • 1 position

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Employment type
Contract
Experience level
Senior · 5+ years
Posting language
English
Working hours
40 hours per week
Seniority
Mid-Senior level
Application method
Direct apply is available

Job summary

Design, build, and optimize batch and real-time data pipelines and scalable, cost-efficient GCP data platforms using tools such as Dataflow, Spark, Pub/Sub, and BigQuery. Lead and mentor a team of 10 data engineers, establish engineering and governance standards, optimize platform performance and costs, and collaborate on analytics and machine-learning solutions.

Job details

Technical Skills: Strong proficiency in SQL, Python, Java/Scala, Spark, and Apache Beam. GCP Expertise: Hands-on experience with BigQuery, Dataflow, Dataproc, Pub/Sub, Composer (Airflow), Cloud Storage, and Terraform. Key Responsibilities Design, build, and optimize batch and real-time data pipelines. Develop ETL/ELT solutions using Dataflow, Spark, Pub/Sub, and BigQuery. Architect scalable and cost-efficient GCP data platforms. Lead and mentor a team of 10 data engineers. Establish coding, CI/CD, monitoring, data quality, and governance standards. Optimize performance, reliability, and GCP costs. Collaborate with architects, data scientists, and analysts on analytics/ML solutions. Nice to Have: GCP Professional Data Engineer certification, Vertex AI, real-time processing, dbt, and multi-cloud experience.

What you’ll do

Design, build, and optimize batch and real-time data pipelines and scalable, cost-efficient GCP data platforms using tools such as Dataflow, Spark, Pub/Sub, and BigQuery. Lead and mentor a team of 10 data engineers, establish engineering and governance standards, optimize platform performance and costs, and collaborate on analytics and machine-learning solutions.

Requirements

Requires strong proficiency in SQL, Python, Java or Scala, Spark, and Apache Beam, along with hands-on experience across GCP data services and Terraform. The role calls for senior-level data engineering capability; a GCP Professional Data Engineer certification, Vertex AI, dbt, real-time processing, and multi-cloud experience are nice to have.

Listed skills

  • SQL · Preferred
  • CI/CD · Preferred
  • Java · Preferred
  • Terraform · Preferred
  • Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • SQL
  • Python
  • Java
  • Scala
  • Spark
  • Apache Beam
  • BigQuery
  • Dataflow
  • Dataproc
  • Pub/Sub
  • Composer (Airflow)
  • Cloud Storage
  • Terraform
  • ETL/ELT
  • CI/CD
  • Data Governance

Job areas

  • Data & Analytics
  • Technology
  • Software
  • Management & Leadership

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