Senior Performance Analyst – Predictive Analytics, Customer Experience

TELUS

Data Engineer designing and maintaining cloud-native data pipelines for TELUS on Google Cloud. Collaborates with cross-functional teams to optimize data-driven business outcomes.

Posted 6/10/2026full-timeToronto • 🇨🇦 CanadaSenior💰 CA$70,000 - CA$120,000 per yearWebsite

Tech Stack

Tools & technologies

BigQueryCloudETLGoogle Cloud PlatformJavaScriptPythonSQLTableau

About the role

Key responsibilities & impact

Independently design and develop cloud-native data pipelines on Google Cloud Platform (BigQuery, Dataflow, Cloud Storage, Cloud Composer, Pub/Sub) that ingest, process, and serve data from our enterprise data lake to power analytics across the organization
Own end-to-end solution design from requirements gathering through production deployment, with architectural guidance from senior leads but final decision-making authority on technical approaches
Collaborate with cross-functional partners—including AI engineers, BI analytics leads, and customer outcome teams—to translate business requirements into scalable technical solutions that move the needle on real business outcomes
Build and optimize complex SQL queries and Python data processing applications that meet enterprise-grade standards for performance, quality, security, and accessibility
Support the team in evaluating Google Cloud technology choices, testing solutions, and implementing best practices in development, security, and data governance
Mentor junior engineers and contribute to the data engineering practice by applying modern Infrastructure as Code principles, documenting solutions, and sharing technical knowledge that elevates the team's capabilities
Ensure production reliability by deploying, testing, and maintaining analytics pipelines with a commitment to high-quality service delivery for our internal and external customers

Requirements

What you’ll need

Google Professional Data Engineer Certification (required)
3+ years of hands-on experience designing, building, and maintaining data pipelines and analytics solutions (GCP preferred; deep expertise in other major cloud platforms with strong GCP fundamentals acceptable)
Advanced SQL skills including ability to build complex, performant queries for large-scale data sets
Strong Python programming skills with experience building production-grade data processing applications
Solid conceptual understanding of ETL/ELT processes, data pipeline architecture, databases, data warehouses, and data lakes
Version control (Git) and Infrastructure as Code experience (nice-to-have)
Familiarity with Google Cloud security best practices and data governance frameworks (nice-to-have)
Experience with data visualization tools (Looker, Google Data Studio, or Tableau Cloud) (nice-to-have)
Exposure to Google AppScript or full-stack JavaScript for internal tooling and automation (nice-to-have)
Experience working in regulated industries where data compliance matters (nice-to-have)

Benefits

Comp & perks

Comprehensive total rewards package highlighting competitive salary and bonus structures
Minimum 3 weeks of vacation
Flexible benefits plan to meet the needs of you and your family
Flexibility to work in-office, virtually or a combination of both
Generous company matched pension and share purchase programs
Opportunity to give back to communities in which we work, live and serve
Career growth and learning & development opportunities to develop your skills

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Hard Skills & Tools

cloud-native data pipelinesGoogle Cloud PlatformBigQueryDataflowCloud StorageCloud ComposerPub/SubSQLPythonETL/ELT processes

Soft Skills

collaborationmentoringdecision-makingcommunicationproblem-solving

Certifications

Google Professional Data Engineer Certification