Senior Data Engineer

Overview

• Build, deploy, and manage data pipelines using Python and PySpark
• Develop and optimize ETL/ELT processes to support data integration across systems
• Work directly with GCP and AWS services to implement scalable cloud-based data solutions
• Own data workflows end-to-end — from ingestion to transformation to storage
• Continuously monitor and improve pipeline reliability, speed, and data quality
• Use GenAI and automation tools to speed up development and reduce manual effort
• Proactively debug, troubleshoot, and resolve data engineering issues
• Ensure data is available and trustworthy for analytics and downstream systems
• Deliver high-quality code and documentation with a bias for action
  
  

• Strong proficiency in Python and PySpark
• Working experience with cloud platforms like GCP and/or AWS
• Solid understanding of ETL/ELT, data warehouse and data lake concepts.
• Proficient in working with relational databases—preferably PostgreSQL and MySQL—as
  
  

well as non-relational databases, with a focus on MongoDB.

• Driven by delivery and results — you get things done efficiently
• Self-starter attitude with minimal need for hand-holding
• Excitement for automating work using GenAI or scripting tools
• Familiarity with SCD, CDC, Real-time Streaming vs Batch-processing.
  
  

• Experience with CI/CD pipelines and Docker
• Understanding of data governance and observability
• Prior experience in fast-paced, execution-heavy teams
  
  

• High-impact role where execution speed is valued and recognised
• Freedom to build, ship, and iterate without red tape
• Work with a lean, high-performing data team
• Opportunities to innovate with Generative AI tools
• Fast learning environment and ownership from day one
  
  

If you're someone who prefers delivering over deliberating — apply now and help us build data

infrastructure that moves the needle

Equal Opportunity Employer Statement

At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants’ qualifications, merits, competence and performance without regard to any characteristic related to diversity.