L4 Data Management (Data Engineer)

Intello Technologies Inc.; Montreal; Hybrid; CAD 104,000 - 156,000; Full time

Job summary

A leading technology firm in Montreal is seeking an experienced Data Engineer to design and develop robust data pipelines. This role involves collaboration with data scientists and engineers to address complex data challenges using cloud technologies. The ideal candidate will have 5+ years of experience, strong skills in Python and SQL, and a Bachelor's degree in Computer Science. The role offers competitive pay and flexible working arrangements.

Benefits

Generous company matched pension

Flexible benefits plan

Career growth opportunities

Qualifications

• 5+ years of IT platform implementation experience.
• Deep understanding of data engineering principles.
• Strong systems design experience.

Responsibilities

• Design and develop high-performance data pipelines.
• Collaborate with stakeholders to understand data requirements.
• Implement automation to improve development efficiency.

Skills

Data pipeline design

Data engineering principles

Python

SQL

Analytical skills

Communication skills

Education

Bachelor's degree in Computer Science

Tools

Google Cloud Platform (GCP)

Dataflow

Spark

Kafka

Job description

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Jobs by Category: Technology Solutions

Job Function: Data Science

Status: Full Time

Schedule: Regular

Join our team and what we'll accomplish together

The Data Strategy & Enablement (DSE) team is on a mission to make TELUS a world-class leader in data solutions. We're the architects of the future, building the unified, scalable data platforms and pioneering the data-product culture that powers decisions and innovation across the entire organization. Our work is the bedrock upon which advanced analytics and game-changing AI are built.

As a Data Engineer on our team, you will be at the heart of this transformation. You will apply your expert knowledge of data systems, architecture, and software development to build and deploy the robust, high-quality data pipelines that fuel our business. You'll collaborate closely with data scientists, ML engineers, architects, and business stakeholders, turning complex data challenges into reliable, scalable, and automated data solutions.

What you will do

• Partner with business and technology stakeholders to understand data requirements and translate them into technical designs for resilient, high-performance data pipelines.
• Lead the design, development, and deployment of sophisticated data ingestion, transformation, and delivery solutions using modern, cloud-native technologies.
• Develop and maintain robust, scalable data pipelines for continuous and reliable data flow, ensuring the quality and availability of data for machine learning models, analytics, and critical business operations.
• Work with diverse and complex datasets, engineering elegant solutions to extract, model, and prepare data for a variety of downstream use cases.
• Architect and implement the transformation and modernization of our data solutions, leveraging Google Cloud Platform (GCP) native services and other leading-edge data technologies.
• Identify opportunities for and implement automation in the development and production lifecycle to improve efficiency, reliability, and speed.
• Champion and implement best practices in software engineering, data engineering, and data management within the team.
• Continuously assess the evolving data technology landscape and identify new opportunities to drive innovation and efficiency.

What you bring

• A proven track record of designing, building, and deploying data pipelines and solutions that deliver tangible business value, reflected in your 5+ years of IT platform implementation experience.
• Bachelor's degree in Computer Science, Engineering, or an equivalent field.
• Deep understanding and hands-on experience in data engineering principles and best practices, with advanced knowledge of Dataflow, Spark, or Kafka.
• Strong systems design experience with the ability to architect, document, and explain complex system interactions, data flows, and APIs.
• Excellent communication skills, with the ability to articulate complex data concepts and solutions clearly to diverse technical and non-technical audiences.
• Advanced experience with Python and mastery of data manipulation libraries (like Pandas), paired with strong SQL skills for complex querying and data analysis.
• Familiarity with at least one major cloud computing platform (GCP, AWS, Azure), with practical experience deploying data solutions.
• Strong analytical and problem-solving skills, with a talent for translating complex business needs into scalable and maintainable data solutions.
• A passion for innovation, a results-oriented mindset, an agile approach with a bias for action, and a change agent mentality.

Great-to-haves

• GCP Professional Data Engineer certification.
• Practical experience with Databricks, Azure, or AWS data services.
• An understanding of telecommunications data models or TMF standards.
• Experience in MLOps, supporting the data infrastructure required for machine learning workflows.
• Familiarity with Infrastructure as Code (e.g., Terraform) and CI/CD practices

Salary Range: $104,000-$156,000

Performance Bonus or Sales Incentive Plan: 15%

Actual total compensation will be determined based on factors such as knowledge, skills, performance and experience. In addition, TELUS offers rewarding benefitssuch as:

• Comprehensive total rewards package highlighting competitive salary and bonus structures, minimum 3 weeks of vacation, and flexible benefits plan to meet the needs of you and your family
• Flexibility to work in-office, virtually or a combination of both, based on the role's requirements
• 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 opportunitiestodevelop your skills
• And much more …

A bit about us

We’re a people-focused, customer-first, purpose-driven team who works together every day to innovate and do good. We improve lives through our technology solutions and foster a culture of innovation that empowers team members to solve complex problems and create remarkable human outcomes in a digital world.

You’ll find our engaging, high-performance culture personally fulfilling, professionally challenging, and financially rewarding. We’re committed to diversity and equitable access to employment opportunities based on ability. Your unique contributions and talents will be valued and respected here. When you join our team, you’re helping us make the future friendly.

Note for Quebec candidates: if knowledge of English is required for this position, it is because the team memberwill be asked, on a regular basis, to interact in English with external or internal parties or to use English applications or software as part of their tasks.

Technology Solutions

We’re into seeing where technology can take us, so if you have ever imagined what the future of supply chain management, cybersecurity, the cloud and Internet of Things will look like, we want you to be part of the team that makes it happen.

We are honoured to be recognized

5G
TELUS’s fastest network. 5G enables a superior experience with fast downloads and richer multimedia applications

6
Innovation centres across Canada that bring our team members together with customers, partners, start ups, universities, hospitals and fellow colleagues to tackle some of the biggest technological hurdles Canada will face in the near future.

Accessibility

TELUS is proud to foster an inclusive culture that embraces diversity. We are committed to fair employment practices and all qualified applicants will receive consideration for employment.

We offer accommodation for applicants with disabilities, as required, during the recruitment process.