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Data Engineer jobs in Canada

Senior Data Engineer

Bird Construction

Edmonton
Hybrid
CAD 90,000 - 120,000
30+ days ago
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Associate Data Engineer

Export Development Canada

Mississauga
On-site
CAD 63,000 - 86,000
30+ days ago

Associate Data Engineer

Export Development Canada

Toronto
On-site
CAD 63,000 - 86,000
30+ days ago

Associate Data Engineer

Export Development Canada

Montreal
On-site
CAD 63,000 - 86,000
30+ days ago

Associate Data Engineer

Export Development Canada

Ottawa
On-site
CAD 63,000 - 86,000
30+ days ago
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Bauer/ Cascade Maverik: Data Engineer

Bauer Hockey/ Cascade Maverik Lacrosse

Mississauga
Hybrid
CAD 80,000 - 100,000
30+ days ago

OPEN: Senior Data Engineer

Cpus Engineering Staffing Solutions Inc.

Pickering
Hybrid
CAD 90,000 - 120,000
30+ days ago

Data Engineer, Data Integration & Performance Platform

OMERS

Toronto
Hybrid
CAD 60,000 - 80,000
30+ days ago
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AI and Data - Senior - Data Engineer

Ernst & Young Advisory Services Sdn Bhd

Toronto
On-site
CAD 90,000 - 120,000
30+ days ago

Senior Data Engineer, Corporate Data and Analytics

Lyft

Toronto
Hybrid
CAD 136,000 - 170,000
30+ days ago

Data Engineer, Core Data Engineering

Tubi Tv

Toronto
Remote
CAD 70,000 - 90,000
30+ days ago

Senior Data Engineer

Jonas Software

Canada
On-site
CAD 100,000 - 130,000
30 days ago

Senior Data Engineer

Afresh

British Columbia
Remote
CAD 90,000 - 120,000
30 days ago

Data Engineer Duurzaam Pensioen

PHP Professionals

Victoria
Hybrid
CAD 60,000 - 80,000
30 days ago

Cloud Data Engineer

AlphaPoint

Southwestern Ontario
Remote
CAD 90,000 - 120,000
30+ days ago

Data Engineer

Picton Mahoney Asset Management

Toronto
On-site
CAD 80,000 - 100,000
30+ days ago

Senior Data Engineer

T-Net British Columbia

Toronto
Hybrid
CAD 146,000 - 198,000
30+ days ago

Technology Lead - AWS and Snowflake Data Engineer

Infosys

Blind River
Hybrid
CAD 89,000 - 116,000
30+ days ago

data engineer

NPC/Sandman Hotel Group/Sutton Place Hotel

Vancouver
On-site
CAD 60,000 - 80,000
30+ days ago

Lead Data Engineer - GCP

Scotiabank

Toronto
On-site
CAD 120,000 - 150,000
30+ days ago

Data Engineer

Deloitte Canada

Montreal
Hybrid
CAD 57,000 - 102,000
30+ days ago

Senior Data Engineer

Human Capital Solutions, Inc

Toronto
On-site
CAD 90,000 - 120,000
30+ days ago

Principal Data Engineer / Technical Lead

Symend

Calgary
On-site
CAD 100,000 - 130,000
30+ days ago

Data Engineer

Afresh

Canada
Hybrid
CAD 187,000 - 230,000
30+ days ago

Data Engineer

T-Net British Columbia

Toronto
Hybrid
CAD 116,000 - 158,000
30+ days ago

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Senior Data Engineer
Bird Construction
Edmonton
Hybrid
CAD 90,000 - 120,000
Full time
30+ days ago

Job summary

A leading construction company in Canada is seeking a Senior Data Engineer to optimize data flow and support analytics solutions across various business areas. The role requires a Bachelor's or Master's degree and at least 5 years of relevant experience. Ideal candidates will have strong skills in Python, SQL, and cloud technologies, particularly Azure. Join us to unlock your potential and contribute to our commitment to quality and safety in a collaborative environment.

Benefits

Strong commitment to safety
Support for diversity and inclusion
Professional development opportunities

Qualifications

  • 5 years of experience in data engineering, data architecture, or analytics platform development.
  • Strong interpersonal skills and ability to influence technical direction across teams.
  • Commitment to data security, quality, and compliance standards.

Responsibilities

  • Develop end-to-end data pipelines using cloud and on-premises platforms.
  • Lead implementation of data quality monitoring and alerting systems.
  • Support deployment of predictive and machine learning models into production environments.

Skills

Python
SQL
Spark
Cloud technologies (Azure preferred)
Data governance best practice
Visualization tools (Tableau, Power BI)

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Tools

Azure Data Factory
Databricks
Delta Lake
Synapse
Snowflake
Docker
GitHub Actions
Job description

Senior Data Engineer

Where Greatness Grows

The greatest achievements in history are borne from the greatness within people – where human potential meets vision, and passion fuels evolution. Unlocking this potential is the most important thing we do at Bird.

As a leader in Canadian construction for over 100 years, the impact of our team is etched deeply within the core of our legacy. Beyond Bird, this impact is felt in the fundamental aspects of our everyday lives. From the critical infrastructure we depend on, to the energy and resources that keep us moving - we are powering our communities and shaping Canada’s skylines coast-to-coast. Entrenched in the foundation of a culture built more than a century ago is an enduring quest to reimagine what is possible. Our impact is greater than ever, and we are looking for those who seek to redefine their story.

We are a dynamic team of over 5,000 with a range of professions, backgrounds, and areas of expertise. This breadth of diversity in people and opportunities is one of greatest aspects of building your career with Bird. Every trajectory looks different. At Bird, you hold the pen, and you write your story. As you unlock your potential, you are surrounded by a team that supports you every step of the way.

Be a part of our team, where we pride ourselves on the quality of our work and the way we treat each other and our partners. You will build a career and long-lasting relationships based on respect, collaboration, and a solution-focused mindset. Bird is a place where you will unlock your potential and achieve your goals.

Reporting to the Manager, Business Intelligence & Analytics, the Senior Data Engineer will be responsible for collecting and analyzing vast amounts of data to optimize business results and help build the next generation of analytics solutions. You’ll have the chance to partner with several business areas across a variety of regions enabling them to design, build, and deploy cutting-edge analytics solutions. As a core member of the Business Intelligence and Analytics team, you will also work with other IT peers focused on delivering data insights to our different business areas by applying leading-edge analytics approaches, data, and technology.

The Senior Data Engineer is responsible for designing, building, and optimizing scalable data pipelines and architectures across enterprise systems. This role enables advanced analytics and AI/ML solutions by ensuring the efficient flow of high-quality data. The Senior Data Engineer provides technical leadership to the data engineering team, ensuring alignment with best practices and business goals.

This position is based in one of our offices in Calgary, Edmonton, Winnipeg, Mississauga (Toronto), Vancouver, Ottawa, Regina, and Montreal.

What You Will Be Working On

  • Develop end-to-end data pipelines using cloud and on-premises platforms

  • Partner with business and IT leaders to design solutions that meet analytics and operational needs

  • Build robust data ingestion and transformation processes from structured and unstructured sources

  • Create and optimize data lakes, warehouses, and marts (e.g., Azure Synapse, Databricks, SQL Server)

  • Develop and Maintain Scalable Data Infrastructure

  • Lead implementation of data quality monitoring and alerting systems

  • Develop scalable frameworks for metadata, lineage, and data cataloging

  • Support deployment of predictive and machine learning models into production environments

  • Collaborate with Data Scientists and Analysts to ensure timely, governed access to data

  • Establish and promote best practices in data engineering and cloud architecture

  • Mentor junior team members and contribute to team capability growth

  • Contribute to enterprise data strategy and governance initiatives

What We Are Looking For

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field

  • 5 years of experience in data engineering, data architecture, or analytics platform development

  • Strong proficiency in Python, SQL, Spark, and cloud technologies (Azure preferred)

  • Deep understanding of modern data architecture patterns (e.g., ELT/ETL, Lakehouse)

  • Proven experience with tools like Azure Data Factory, Databricks, Delta Lake, Synapse, or Snowflake

  • Experience integrating with APIs, flat files, ERP, and CRM platforms

  • Familiarity with containerization and CI/CD (e.g., Docker, GitHub Actions, DevOps)

  • Excellent troubleshooting, performance tuning, and automation skills

  • Strong interpersonal skills and ability to influence technical direction across teams

  • Familiarity with data governance best practice

  • Commitment to data security, quality, and compliance standards

  • Skilled in visualization tools such as Tableau, Power BI

We Put Safety First

A healthy and safe work environment is non-negotiable. We build a culture of operational and psychological safety through engagement, learning and leadership.

We Lead With Honesty

We speak and act with integrity, clarity and care so people can trust our word and our work. Being honest means we can deliver the best outcomes and consistent results.

We Are Stronger Together

Success is a team effort. Our inclusive workplace enables our combined expertise, humility and creativity to unlock our greater potential.

We Are Driven To Do Great Work

We built our name on quality. We have a passion for excellence in our work and relationships that honours our businesses and our industry.

We Create Opportunity

Rooted in a solid foundation, we adapt and grow to face the future. We are committed to elevating each other to chart the best path forward in an evolving world.

Bird is committed to diversity, equity, and inclusion (DE&I). This is a core part of our culture and guides our actions and strategic priorities. We strive to create an inclusive environment where every employee can thrive and share their unique perspectives and talents. Our ongoing commitments focus on addressing inequities and promoting a better understanding of diversity to build an inclusive and fair culture. We recognize that diverse teams are more knowledgeable, perform better, and achieve greater success. As such, we are dedicated to building a workforce that reflects the diversity of the communities we serve and creating opportunities for all employees to grow and succeed.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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