Data Engineer

About Us

TELUS Digital Experience

TELUS Digital (TD) Experience partners with the world’s most innovative brands, from tech startups to industry leaders in fintech, gaming, healthcare, and more. We empower businesses to scale and redefine possibilities with integrated customer experience and cutting-edge digital solutions.

Backed by TELUS, our multi-billion-dollar parent company, we offer scalable, multi-language,

and multi-shore capabilities. Our expertise spans digital transformation, AI-driven consulting, IT

lifecycle management, and more – delivered with secure infrastructure, value-driven pricing, and

exceptional service.

AI Data Solutions : Shaping the Future of AI

For nearly two decades, TELUS Digital AI Data Solutions has been a global leader in providing

premium data services for the ever-evolving AI ecosystem. From machine learning to computer

vision and Generative AI (GenAI), we empower the next generation of AI-powered experiences

with high-quality data and human intelligence to test, train, and improve AI models.

Backed by a community of over one million contributors and proprietary AI-driven tools, we deliver solutions designed to cover the training data needs of every project. From custom data

collection to advanced data annotation and fine-tuning, our purpose-built tools deliver multimodal data for AI training projects of any complexity – from experimental pilots to ambitious large-scale programs. Examples include empowering GenAI models with human aligned datasets and fine-tuning data across 20+ domains and 100+ languages, enabling autonomous driving and advancing extended reality applications with industry-leading data labeling.

Join us to be part of an innovative team shaping the future of AI and driving digital transformation to new heights!

More : https : / / www.telusdigital.com / solutions / ai-data-solutions

About the Role

We are looking for a hands-on, action-oriented Data Engineer who thrives on execution.

This role is perfect for someone who enjoys rolling up their sleeves, building robust data pipelines, and delivering solutions that directly impact the business. If you prefer doing over discussing, and value outcomes over process, we want you on our team.

Key Responsibilities

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

Required Skills & Qualifications

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.

Nice to Have

Experience with CI / CD pipelines and Docker

Understanding of data governance and observability

Prior experience in fast-paced, execution-heavy teams

Why Join Us?

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.