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Data Bi Engineer Jobs in Quebec (NOW HIRING)

BRP

Data Analyst, Customer Analytics

Montreal, QC · Hybrid

Familiarity with data science concepts and programming languages (Python, R) is an asset * Proficiency in BI tools (e.g., Tableau, Power BI, Looker) is an asset; * Excellent communication skills with ...

Autodesk

Principal Data Scientist

Montreal, QC · On-site

CA$129K - CA$189K/yr

This role brings data science into day-to-day product engineering, from instrumentation and ... Proficiency with analytics and BI tools such as Looker, Tableau, Splunk, Mixpanel, or similar ...

Amber

Senior Data Analyst (Project Based)

Montreal, QC · On-site +1

Work with engineers to create data tracking framework * Provide data visualization using specified tools (Power Bi, MS Office, PowerPoint) * Perform data analysis and create arguments based on ...

SYSTRA

SYSTRA Canada is an engineering and consulting firm whose primary focus is to offer transportation ... Design analytical visualizations (metadata) using Power BI to assess the current status, target ...

New

Targeted Talent

Senior Database Developer

Quebec, QC · Remote

$95K - $110K/yr

We are looking for an experienced Data Developer for our client. This is a permanent position ... Experience with visualization tools like Power BI and Tableau * Experience working in a cloud ...

Targeted Talent

Senior Database Developer

Montreal, QC · Remote

$95K - $110K/yr

We are looking for an experienced Data Developer for our client. This is a permanent position ... Experience with visualization tools like Power BI and Tableau * Experience working in a cloud ...

Targeted Talent

Senior Database Developer

Quebec, QC · Remote

$95K - $110K/yr

We are looking for an experienced Data Developer for our client. This is a permanent position ... Experience with visualization tools like Power BI and Tableau * Experience working in a cloud ...

Targeted Talent

Senior Database Developer

Montreal, QC · Remote

$95K - $110K/yr

We are looking for an experienced Data Developer for our client. This is a permanent position ... Experience with visualization tools like Power BI and Tableau * Experience working in a cloud ...

Maarut

CA$1 - CA$11/hr

... data hub using Power BI. * The project is being delivered iteratively, delivering value to users with each iteration. The first deployment (Delivery 1) is planned for 2026. Support for the solution ...

Bell Canada

Senior Data Scientist II

Montreal, QC

... Engineer - specify preferred certifications). * Advanced knowledge of ML models: NLP, Gen AI and ... Strong experience with data visualization tools (e.g., Tableau, Power BI). * Excellent ...

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All JobsData Bi Engineer JobsData Bi Engineer Jobs in Quebec

Data Bi Engineer information

Will AI replace data engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining data pipelines, which require complex problem-solving and domain expertise. Instead, AI tools can automate routine tasks, allowing data engineers to focus on architecture, data quality, and strategic analysis. Skills in programming, cloud platforms, and data management remain essential for the role.

What are Data BI Engineers?

Data BI (Business Intelligence) Engineers are professionals who design, build, and maintain systems that transform raw data into meaningful business insights. They develop data pipelines, integrate various data sources, and create reports or dashboards to support decision-making processes. Their work ensures that companies have accurate, timely, and actionable information to drive strategy and operations. Data BI Engineers typically work closely with data analysts, data scientists, and business stakeholders.

What is the difference between Data Bi Engineer vs Data Analyst?

AspectData Bi EngineerData Analyst
Primary FocusBuilding data pipelines, data warehousing, and integrating data systemsAnalyzing data to generate reports and insights
Skills & ToolsSQL, ETL processes, data modeling, cloud platformsExcel, SQL, visualization tools like Tableau or Power BI
Work EnvironmentData engineering teams, IT departments, cloud environmentsBusiness units, analytics teams, management
CredentialsData engineering certifications, SQL, cloud certificationsData analysis certifications, SQL, visualization skills

While both roles work with data, Data Bi Engineers focus on building and maintaining data infrastructure, whereas Data Analysts interpret data to provide actionable insights. Understanding these differences helps organizations assign the right responsibilities and professionals for their data needs.

How does a Data BI Engineer typically collaborate with business stakeholders and data analysts?

A Data BI Engineer frequently works with business stakeholders and data analysts to understand data requirements, translate business needs into technical specifications, and ensure data solutions align with organizational goals. This role often involves participating in meetings to gather requirements, sharing progress updates, and iterating on dashboards or data pipelines based on feedback. Effective communication is key, as Data BI Engineers must bridge the gap between technical data structures and actionable business insights. Regular collaboration helps ensure that the data solutions provided are both technically sound and valuable for decision-making.

What is a BI data engineer?

A BI data engineer designs, builds, and maintains data pipelines and systems to support business intelligence and analytics. They work with tools like SQL, ETL processes, and data warehouses to ensure data is accurate, accessible, and ready for analysis by data analysts and scientists.

What are the key skills and qualifications needed to thrive as a Data BI Engineer, and why are they important?

To thrive as a Data BI Engineer, you need strong skills in data modeling, SQL, ETL processes, and a background in computer science or a related field. Familiarity with BI tools such as Power BI, Tableau, or Looker, as well as experience with data warehouses and cloud platforms like AWS or Azure, is typically required. Critical thinking, problem-solving, and effective communication are crucial soft skills for translating data insights into actionable business recommendations. These skills and qualities are essential for building reliable data solutions that empower organizations to make informed, data-driven decisions.

What engineers make $500,000?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools, can earn $500,000 or more annually. High compensation is often associated with leadership roles, specialized expertise, or working in high-demand industries such as finance or technology firms.

What is the salary of a BI engineer in the US?

The average salary of a Business Intelligence (BI) Engineer in the US ranges from $80,000 to $130,000 annually, depending on experience, location, and skills. Senior BI engineers with expertise in tools like Tableau, Power BI, or SQL can earn higher salaries, often exceeding $140,000. Certifications and proficiency in data modeling and ETL processes can also influence compensation.
What are popular job titles related to Data Bi Engineer jobs in Quebec? For Data Bi Engineer jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Data Bi Engineer jobs in Quebec look for? The top searched job categories for Data Bi Engineer jobs in Quebec are:
What cities in Quebec are hiring for Data Bi Engineer jobs? Cities in Quebec with the most Data Bi Engineer job openings:
Data Bi Engineer jobs near you

Data internship, Fall 2026

Desjardins Group

Montreal, QC • Hybrid

Full-time

Posted 17 days ago

Job description

💚 Desjardins Group has adopted a data strategy designed to maximize the value of our data and enhance the member and client experience. Our ambition is to sustain our growth and strengthen our reputation as a recognized leader in data valorization, security, compliance, ethics and governance. We offer a range of data internships that will allow you to sharpen your skills in:

💡Information analytics (business intelligence)

  • Help deepen our understanding of members and clients through data valorization and analysis to support strategic decision making

  • Create visual reports and issue recommendations to meet the needs of internal partners

📊Advanced analytics

  • Take part in exploring, evaluating and developing innovative AI methodologies and products to support data valorization

  • Help innovate and explore in one of our areas of expertise, like structured and unstructured synthetic data, generative and multimodal language models, etc.

  • Help monitor new advances in AI and support their adoption by Desjardins Group

🤖Machine learning operations (MLOPS)

  • Work alongside data scientists and IT experts on a multidisciplinary squad to design, develop, deploy and monitor machine learning and AI systems

  • Help implement continuous integration and deployment (CI/CD) pipelines for machine learning models

  • Develop and maintain application programming interfaces (APIs) and software development kits (SDKs) that expose analytical models to applications in production

🛡Data governance

  • Document metadata in the information governance catalogue

  • Prepare content for metadata loading templates and update the catalogue and reference databases

  • Help data governance advisors classify metadata according to the current data architecture framework in a secure and private environment

What you bring to the table

  • Your educational institution must credit or certify your internship toward a bachelor's degree or a master's degree in an appropriate discipline

  • Knowledge of French required

  • Proficiency in software development, including object-oriented programming for machine learning operations

  • Knowledge of tools such as Tableau and Power BI for information analytics

  • Knowledge of SAS and SQL for information analytics

  • Knowledge of machine learning algorithms, deep learning and development frameworks (keras, tensorflow, pytorch, etc.) for advanced analytics

  • Knowledge of generative AI models and solutions (synthetic data, LLMs, prompt engineering, etc.) for advanced analytics

  • Knowledge of MS Office suite (especially Excel) for data governance

At Desjardins, we don't just support youth. We value their talent. There's a difference

#LI-Hybrid

Action oriented, Customer Focus, Differences, Nimble learning

At Desjardins, we believe in equity, diversity and inclusion. We're committed to welcoming, respecting and valuing people for who they are as individuals, learning from their differences, embracing their uniqueness, and providing a positive workplace for all. At Desjardins, we have zero tolerance for discrimination of any kind. We believe our teams should reflect the diversity of the members, clients and communities we serve.

If there's something we can do to help make the recruitment process or the job you're applying for more accessible, let us know. We can provide accommodations at any stage in the recruitment process. Just ask!

Job Family

Data (FG)

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