Welcome to TELUS Digital — where innovation drives impact at a global scale. As an award-winning digital product consultancy and the digital division of TELUS , one of Canada’s largest telecommunications providers, we design and deliver transformative customer experiences through cutting-edge technology, agile thinking, and a people-first culture.

With a global team across North America, South America, Central America, Europe, and APAC, we offer end-to-end expertise across eight core service areas: Digital Product Consulting, Digital Marketing Services, Data & AI, Strategy Consulting, Business Operations Modernization, Enterprise Applications, Cloud Engineering, and QA & Test Engineering.

From mobile apps and websites to voice UI, chatbots, AI, customer service, and in-store solutions, TELUS Digital enables seamless, trusted, and digitally powered experiences that meet customers wherever they are — all backed by the secure infrastructure and scale of our multi-billion-dollar parent company.

Work Mode / Location :: Remote

Note: For this role, the experience with Snowflake Data Clean Room is mandatory

Responsibilities

• Design, develop and optimize scalable data pipelines and ETL workflows using Google Cloud Platform (GCP), particularly leveraging BigQuery, Dataflow, Dataproc and Pub/Sub.

• Design and manage secure, efficient data integrations involving Snowflake and BigQuery.

• Write, test and maintain high-quality Python code for data extraction, transformation and loading (ETL), analytics and automation tasks.

• Use Git for collaborative version control, code reviews and managing data engineering projects.

• Implement infrastructure-as-code practices using Pulumi for cloud resources management and automation within GCP environments.

• Apply clean room techniques to design and maintain secure data sharing environments in alignment with privacy standards and client requirements.

• Collaborate with cross-functional teams (data scientists, business analysts, product teams) to deliver data solutions, troubleshoot issues and assure data integrity throughout the lifecycle.

• Optimize performance of batch and streaming data pipelines, ensuring reliability and scalability.

• Maintain documentation on processes, data flows and configurations for operational transparency.

Qualifications

• Strong hands-on experience with GCP core data services: BigQuery, Dataflow, Dataproc and Pub/Sub.

• Proficiency in data engineering development using Python.

• Deep familiarity with Snowflake—data modeling, secure data sharing and advanced query optimization.

• Proven experience with Git for source code management and collaborative development.

• Demonstrated ability using Pulumi (or similar IaC tools) for deployment and support of cloud infrastructure.

• Practical understanding of cleanroom concepts in cloud data warehousing, including privacy/compliance considerations.

• Solid skills in debugging complex issues within data pipelines and cloud environments.

• Effective communication and documentation skills.

Skills

• Snowflake Data Clean Room

• GCP

• ETL

Educational Background

• Bachelor's degree in IT, computer science, software engineering, or equivalent experience.