GCP Senior Data Engineer
Design and optimize ETL/ELT pipelines using GCP tools like Dataflow and Dataproc while managing BigQuery infrastructure. Lead junior engineers and collaborate with data scientists to deliver self-service data platforms and governance.
- On-site
- Mississauga, ON
- Posted Aug 26, 2026
- Apply by Feb 22, 2027
- 1 position
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Job summary
We are looking for a GCP Senior Data Engineer with strong experience in GCP, BigQuery, Dataflow, Dataproc, Pub/Sub, Spark, Python, SQL, Terraform & CI/CD. **Required Skills** Technical: Proficiency in SQL, Python, Java/Scala, and distributed systems (Spark, Beam). GCP Expertise: Hands-on with BigQuery, Dataflow, Dataproc, Pub/Sub, Composer (Airflow), and Terraform. DevOps: Familiarity with CI/CD, Git, and infrastructure-as-code. **Nice to Have** GCP Certifications(e.g., Professional Data Engineer). Experience with real-time processing, Vertex AI, or multi-cloud environments. **Key Responsibilities** Pipeline Development: Build and optimize ETL/ELT pipelines using Dataflow (Apache Beam), Dataproc (Spark), Pub/Sub, and Cloud Functions. Data Infrastructure: Architect and manage BigQuery, Cloud Storage, and Data Fusion for efficient data ingestion, transformation, and storage. Team Leadership: Mentor junior engineers, review code, and establish data engineering standards, CI/CD, and monitoring (e.g., Cloud Monitoring, Logging). Performance & Cost: Optimize pipeline performance, query efficiency, and GCP cost managemen (e.g., slot reservations, partitioning). Collaboration: Work with data architects, scientists, and analysts to deliver self-service data platforms and support advanced analytics/ML use cases. Data Quality & Governance: Implement data validation, lineage, and metadata management(e.g., Data Catalog, dbt).
What you’ll do
Design and optimize ETL/ELT pipelines using GCP tools like Dataflow and Dataproc while managing BigQuery infrastructure. Lead junior engineers and collaborate with data scientists to deliver self-service data platforms and governance.
Requirements
Requires proficiency in SQL, Python, and distributed systems with hands-on expertise in the GCP data suite and Terraform. Experience with CI/CD and infrastructure-as-code is essential for this mid-senior level role.
Listed skills
- SQLPreferred
- CI/CDPreferred
- JavaPreferred
- Google CloudPreferred
- TerraformPreferred
- PythonPreferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- GCP
- BigQuery
- Dataflow
- Dataproc
- Pub/Sub
- Spark
- Python
- SQL
- Terraform
- CI/CD
- Java
- Scala
- Apache Beam
- Airflow
- Cloud Functions
- dbt
Job areas
- Data & Analytics
- Technology
- Software
- Engineering
- Consulting
Additional details
- Minimum experience
- 5+ years
- Apply by
- Feb 22, 2027
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Mid-Senior level
- Application method
- Direct apply is available