CAE Inc

Data Engineering Specialist

CAE Inc • $100K — $120K *
Montreal, QC H1A 0A1In-Person
Information Technology
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; master's degree is a plus.
  • Minimum 6 years of data engineering experience with hands-on Python, Spark, SQL, and scripting languages.
  • Proven experience with Microsoft Fabric, specifically implementing medallion architecture.
  • Familiarity with Visual Studio Code and Git in development workflows.
  • Strong grasp of computer science fundamentals, including data structures and algorithms.
  • Experience with both relational and NoSQL databases like SQL Server and Cosmos DB.

Responsibilities

  • Build and maintain data solutions in Microsoft Fabric using CAE's framework.
  • Enhance the enterprise data platform, encompassing data warehouses and data lakes.
  • Design and manage data pipelines utilizing SQL and big data tools like Spark and Kafka.
  • Establish processes to efficiently ingest, transform, and deliver data from diverse sources.
  • Integrate data from various internal and external systems, as well as IoT.
  • Develop backend data solutions to support analysts and data scientists.
  • Implement DevOps practices to streamline the development and deployment of data solutions.

Benefits

  • Group insurance
  • Telemedicine
  • Employee and Family Assistance Program
  • Group RRSP
  • CAE Pension Plan / Defined Benefit Plan
  • Sabbatical leave
  • Flex time
  • Enhanced parental leave
Full Job Description
Job Description

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 across Bronze, Silver, and Gold layers. 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.

Responsibilities:

Platform Architecture and Data Engineering
  • Build and maintain data solutions in Microsoft Fabric across Bronze, Silver, and Gold layers using CAE's data platform framework.
  • Support and improve the enterprise data platform, including data warehouses and data lakes.
  • Design, build, and maintain data pipelines using SQL and big data tools such as Spark, Kafka, or Hadoop.
  • 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 and maintain backend 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.
  • Identify opportunities 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.


Minimum Qualifications
  • Bachelor's degree in Computer Science, Engineering, or a related field. A master's degree is an asset.
  • At least 6 years of experience 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.
  • Required hands-on experience with Microsoft Fabric, including Lakehouses, OneLake, pipelines, notebooks, and medallion architecture across Bronze, Silver, and Gold layers.
  • Strong understanding of computer science fundamentals, including data structures and algorithms.
  • Experience with Terraform.
  • 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 DevOps and Github and infrastructure deployment tools such as ARM.
  • Experience with Microsoft cloud and data platforms such as Fabric, Azure, Databricks, and Purview.
  • Experience with stream-processing technologies such as Spark Streaming.
  • Familiarity with Kubernetes.
  • Proficiency in 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


Position Type
Regular

About CAE Inc

CAE Inc. is a Canadian manufacturer of simulation technologies, modelling technologies and training services to airlines, aircraft manufacturers, healthcare specialists, and defense customers. CAE was founded in 1947, and has manufacturing operations and training facilities in 35 countries. CAE's Defense and Security business unit focuses on training solutions for defense forces across the world. CAE's Civil Aviation Training Solutions business unit provides training solutions for civil aviation organizations worldwide, including airlines, aircraft manufacturers, training centers, and aircraft maintenance, repair and overhaul organizations. CAE's Healthcare business unit designs and manufactures simulators and offers audiovisual and simulation center management services for medical schools, nursing schools, hospitals, defense forces, and other medical organizations. CAE is headquartered in Saint-Laurent, Quebec.
Learn more about CAE Inc
Size
13,000 employees
Market Cap
$6 billion
Industry
Aerospace & Defense
Founded
1947
5 Year Trend
+4.5%
NASDAQ
CAE
* Ladders Estimates

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