Data Engineering Specialist

À propos de CAE

À CAE, notre mission est claire : contribuer à rendre le monde plus sécuritaire. Depuis près de 80 ans, nous faisons progresser l’innovation en simulation, en formation et en préparation aux missions afin de soutenir des opérations critiques partout dans le monde. Grâce à des technologies avancées, nous aidons nos clients à travailler plus intelligemment, plus rapidement et de façon plus durable.

Joignez‑vous à une organisation guidée par sa raison d’être, où les idées audacieuses sont encouragées, où la collaboration fait avancer les choses et où votre développement alimente notre réussite commune.

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.

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.

• 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.

• Apply Dev Ops 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.

• 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.

• 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 Lake houses, One Lake, 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 No
  
  SQL databases, including SQL Server, PostgreSQL, and Cosmos DB.

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