Who We Are

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, Africa, and APAC, we offer end-to-end expertise across various service offerings: Web, Mobile & Digital Marketing | Enterprise AI | Customer Care AI & Technology | Enterprise Technology Modernization

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.

The Opportunity

As a Data Engineer, You’ll get in on the ground floor of a high-profile business at TELUS Health and contribute to a new area of the organization. This career-shaping opportunity will allow you to work with many teams across the organization including PMO, Marketing, Sales, Finance, Engineering, and the health leadership teams. You will be responsible for using data and AI to drive business outcomes. You will work closely with multiple vendors to create quick MVPs and push them to production.

Responsibilities

• Design & develop applications & solutions to automate processes and increase efficiency using power of AI & data.
• Design, develop, and maintain data pipelines.
• Implement and optimize GenAI LLM models to enhance data analysis and predictive capabilities.
• Collaborate with cross-functional teams to identify and prioritize quick win opportunities for data-driven insights and improvements.
• Ensure data quality and integrity by implementing data validation and cleansing processes.
• Collaborate with Data Scientists and Machine Learning Engineers to deploy and operationalize AI models.
• Monitor and troubleshoot data pipelines and resolve any issues or bottlenecks.
• Stay up-to-date with the latest trends and advancements in data engineering, AI, and machine learning technologies.

Qualifications

What you bring

• University degree in Computer Science, Data Science, or a related field.
• Extensive experience using and implementing various LLM Models.
• Experience as a Data Engineer or similar role, working on data transformation and AIrelated projects.
• Strong programming skills in Python for data manipulation, analysis, and automation.
• Strong business acumen.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills to work effectively with cross-functional teams.
• You are comfortable with a high level of ambiguity and possess a continuous improvement mindset.
• You enjoy quantitative analysis and have a reputation for being a problem-solver and creative thinker.
• You have the ability to maintain high workloads, including the management of competing priorities and multiple projects at once.
• You have experience in successfully launching new products
• You have experience in using Google BigQuery and Looker for building applications
• Any experience in UI/Web page/Bot development would be nice to have.
• You can speak and write in French fluently (nice to have).

Bonus Points

• You can speak and write in French fluently (nice to have).

Equal Opportunity Employer

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.

We will only use the information you provide to process your application and to produce tracking statistics. Since we do not request personal data deemed sensitive, we ask you to abstain from sharing that information with us.

For more information on how we use your information, see our Privacy Policy.

Compensation Range: CA$85K - CA$90K