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Data Bi Engineer Jobs in Quebec (NOW HIRING)

Our engineers are the technical visionaries driving our innovative solutions. Renowned globally for ... Proficiencyin Power BI for reporting and data visualization. Benefits * Group insurance

Data Engineering Lead (Montreal)

Montreal, QC · Remote

CA$175K - CA$225K/yr

... BI tools. * Modern Data Stack Ownership: Oversee and optimize tools across the stack - e.g., S3 ... Partner with analytics, product, and engineering teams to define data requirements and improve data ...

CA$114K - CA$127K/yr

We are an interdisciplinary team of scientists, engineers, innovators, builders, and enthusiasts on ... BI tools; dashboard design for operations (drill-down, consistency, governance); scientific ...

CA$114K - CA$127K/yr

We are an interdisciplinary team of scientists, engineers, innovators, builders, and enthusiasts on ... Power BI (preferred) and/or comparable BI tools; dashboard design for operations (drill-down ...

... BI, produit et techniques Participer à la définition des besoins analytiques et des modèles de données Promouvoir une culture de data engineering orientée performance et valeur métier Profil ...

Travailler étroitement avec les équipes BI, produit et techniques * Participer à la définition des besoins analytiques et des modèles de données * Promouvoir une culture de data engineering ...

Travailler étroitement avec les équipes BI, produit et techniques * Participer à la définition des besoins analytiques et des modèles de données * Promouvoir une culture de data engineering ...

Act as the reference for product master data topics across Sustaining Engineering and Operations ... Office & BI tools: Microsoft Office, Excel, Power BI, Domo * Self-confidence and autonomy * Strong ...

Act as the reference for product master data topics across Sustaining Engineering and Operations ... Office & BI tools: Microsoft Office, Excel, Power BI, Domo * Self-confidence and autonomy * Strong ...

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Showing results 1-20

Data Bi Engineer information

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 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 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:
Infographic showing various Data Bi Engineer job openings in Quebec as of May 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Hybrid job distribution.

Senior Data Engineer

Caeus

Montreal, QC

Full-time

Retirement

Posted 23 days ago


Job description

Our engineers are the technical visionaries driving our innovative solutions. Renowned globally for designing, integrating, and deliveringstate-of-the-artsimulation and training systems,you'lltackle complex challenges, collaborate across functions, and lead advancements that shape the future of our industry. Supported by a culture that fosters flexibility, growth, and technological excellence, our engineers are empowered to make a meaningful impact every day. Whether your passion lies in data, mechanical, or aerospace engineering, CAE provides the environment to refine your skills and createa lasting legacyin safety and simulation

Key Responsibilities:

We are looking for a Senior Data Platform Engineer with strong hands-on coding skills and solid experience in modern data engineering. The ideal candidate has experience with Python, Spark, Git, Microsoft Fabric, and medallion architecture acrossBronze, Silver, and Goldlayers. In this role, you will design and improve scalable data solutions, help guide technical decisions, review and write code, support team members, and promote strong engineering practices.

Platform Architecture and Data Engineering

  • Build andmaintaindata solutions in Microsoft Fabric across Bronze, Silver, andGoldlayers using CAE's data platform framework.

  • Support and improve the enterprise data platform, including data warehouses and data lakes.

  • Design, build, andmaintaindata pipelines using SQL and big data tools such as Spark, Kafka,orHadoop.

  • Develop reliable processes to ingest, transform, and deliver data from a variety of sources.

  • Integrate data from internal, external, and IoT sources to support business needs.

  • Build andmaintainbackend data solutions that support analysts, data scientists, and other business users.

Operations, Quality, and Delivery

  • Apply DevOps practices to improve the development and deployment of data solutions.

  • Identifyopportunities to automate manual work and improve data delivery processes.

  • Follow data governance, architecture, and security standards.

  • Monitor data pipelines and provide support when issues arise.

Collaboration and Technical Leadership

  • Work closely with product teams, data experts, architects, and other stakeholders to solve technical issues and support data platform needs.

  • Help guide technical decisions, review code, and share best practices with the team.

  • Collaborate with cross-functional teams on data and AI initiatives.

  • Stay current with industry trends and recommend improvements to the platform and delivery processes.

Minimum Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field. A master's degree is an asset.

  • At least 6 years ofexperience in data engineering with strong hands-on coding in Python, Spark, SQL, and related scripting languages.

  • Experience using Visual Studio Code and Git in modern development workflows.

  • Requiredhands-on experience with Microsoft Fabric, includingLakehouses,OneLake, pipelines, notebooks, and medallion architecture acrossBronze, Silver, and Goldlayers.

  • Strong understanding of computer science fundamentals, includingdata structuresandalgorithms.

  • Experience with Terraform.

  • Experience working with cross-functional teams in a fast-paced environment.

  • Experience with relational and NoSQL databases, including SQL Server, PostgreSQL, and Cosmos DB.

Preferred Qualifications

  • Experience with workflow and orchestration tools such as Azure Data Factory and Airflow.

  • Experience with DevOpsandGithuband infrastructure deployment tools such as ARM.

  • Experience with Microsoft cloud and data platforms such asFabric, Azure,Databricks, and Purview.

  • Knowledge of medallion architecture acrossBronze, Silver, and Goldlayers.

  • Experience with stream-processing technologies such as Spark Streaming.

  • Familiarity with Kubernetes.

  • Proficiencyin Power BI for reporting and data visualization.

Benefits

  • Group insurance

  • Telemedicine

  • Employee and Family Assistance Program

  • Group RRSP

  • CAE Pension Plan / Defined Benefit Plan

  • Sabbatical leave

  • Flex time

  • Enhanced parental leave

About CAE

At CAE, our mission is clear: to help make the world a safer place. For nearly 80 years, we've driven innovation in simulation, training, and mission readiness to support critical operations worldwide. By leveraging advanced technologies, we empower our customers to operate smarter, faster, and more sustainably. Join a purpose-driven organization where bold ideas are encouraged, collaboration drives progress, and your growth fuels our shared success.

Position TypeRegularEqual Opportunity & Accommodations

CAE is committed to providing equal opportunities to all applicants, regardless of race, nationality, color, religion, sex, gender identity or expression, sexual orientation, disability, neurodiversity, veteran status, age, or other characteristics protected by law. We encourage applicants who may not meet every qualification to apply. Reasonable accommodations are available-contact your recruiter or email CAECarrieres-Careers@cae.com if needed.

Data Privacy

Privacy Statement | CAE

As part of our process, we may use AIsupported tools to help review applications, with human decisionmaking at every step. CAE thanks all applicants for their interest. However, only those whose background and experience match the requirements of the role will be contacted.