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CAE

Senior data specialist

Reposted 4 Days Ago
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In-Office
Saint-Laurent, Montréal, QC, CAN
Senior level
In-Office
Saint-Laurent, Montréal, QC, CAN
Senior level
The role involves enhancing data platforms, designing data pipelines, implementing DevOps practices, managing data, ensuring compliance, and collaborating with teams.
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Our engineers are the technical visionaries driving our innovative solutions. Renowned globally for designing, integrating, and delivering state-of-the-art simulation and training systems, you’ll tackle 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 create a lasting legacy in safety and simulation

Key Responsibilities: 

We are seeking a highly skilled and motivated Data Platform Engineer to join our team. This role involves administering and enhancing our enterprise data platform, including Data Warehouses (DWH) and Data Lakes, ensuring optimal performance and scalability. The ideal candidate will have extensive experience with Terraform and a strong background in various data technologies. 

Responsibilities: 

Administer and enhance the enterprise data platform, including Data Warehouses (DWH) and Data Lakes, ensuring optimal performance and scalability. 

Design, implement, and maintain robust and reliable data pipeline architecture to meet business needs, utilizing SQL and big data technologies such as Hadoop, Spark, and Kafka. 

Establish and oversee infrastructure for efficient extraction, transformation, and loading (ETL) of data from diverse sources, ensuring adherence to best practices and standards. 

Implement DevOps practices for continuous integration and continuous deployment (CICD) of data systems, enhancing agility and efficiency. 

Integrate and manage data from multiple sources, including external and IoT data, ensuring data is a valuable enterprise asset. 

Create and maintain backend data solutions for analysts and data scientists, facilitating insightful data analysis and decision-making. 

Identify and implement process enhancements, such as automating manual tasks and optimizing data delivery, to improve efficiency and scalability. 

Partner with stakeholders, including product teams, data experts, and architects, to resolve technical issues and support data infrastructure needs. 

Ensure compliance with data architecture and security standards, maintaining data protection and privacy. 

Set up observability and monitoring systems to track data pipeline reliability and provide prompt operational support in case of incidents. 

Work with executive, CX, design, and development teams to support data-related technical needs and propose innovative ideas for data and AI products. 

Inspire and motivate colleagues by sharing knowledge, contributing to a collaborative work environment, and promoting an Agile mindset. 

Stay connected with industry trends and advancements, suggesting innovative ideas and improvements for data strategies and delivery processes. 

Minimum Qualifications 

Bachelor's degree in Computer Science, Engineering, or related field. A Master’s is a plus. 

A minimum of 6 years industry experience working with data, coding, and scripting (Python, Java, Scala, SQL, JavaScript, Bash), design, and testing. 

Solid knowledge of CS fundamentals in algorithms and data structures. 

Strong experience with Terraform. 

Experience supporting and working with cross-functional teams in a dynamic environment. 

Experience with big data tools: Hadoop, Spark, Kafka. 

Experience with relational SQL and NoSQL databases, including SQL Server, PostgreSQL, and CosmosDB.

Preferred Qualifications

Experience with automated data pipeline and workflow management tools:

DevOps, ARM, Azure Data Factory, Airflow. 

Experience with Microsoft cloud services: Azure, Databricks, Fabric, Purview 

Experience with stream-processing systems: Storm, Spark-Streaming. 

Familiarity with Kubernetes for container orchestration. 

Proficiency in Power BI for data visualization and reporting.

Benefits

Group Insurance

Telemedecine

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 Type                      Regular

Equal 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 [email protected] if needed.

Data Privacy

Privacy Statement | CAE

CAE thanks all applicants for their interest. However, only those whose background and experience match the requirements of the role will be contacted.

Top Skills

Airflow
Arm
Azure
Azure Data Factory
Bash
Cosmosdb
Databricks
DevOps
Fabric
Hadoop
Java
JavaScript
Kafka
Kubernetes
Postgres
Power BI
Purview
Python
Scala
Spark
Spark-Streaming
SQL
SQL Server
Storm
Terraform
HQ

CAE Montréal, Québec, CAN Office

Montréal, Quebec, Canada

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