Bilingual Senior Data Engineer

• Collaborate on the delivery and architecture of data management solutions to support various business sectors
• Coordinate the collection and documentation of business requirements regarding analytical data
• Analyze and validate functional needs in close collaboration with product owners and end users
• Design and program integration solutions by applying best practices in data modeling and processing
• Integrate the highest security standards to preserve the confidentiality of digital information
• Automate testing procedures and conduct required evaluations throughout the development cycle to ensure seamless deployments
• Measure and optimize the performance and robustness of delivered solutions
• Implement and leverage continuous integration and continuous deployment pipelines
• Provide ongoing technical support and monitoring for data platforms once in production
• Maintain essential technical documentation to ensure the long-term viability of the systems

• College diploma or university degree in computer science or a related field
• Minimum of 5 years of experience as an extraction transformation and loading developer and data analyst
• Practical and demonstrated experience of at least 3 years working with Azure Data Factory
• Mastery of modern data management technologies such as Snowflake and Power BI
• Deep understanding of business intelligence architectures including data lakes and data warehouses
• Proficiency with continuous integration concepts, containerization, and virtualization using tools like Azure DevOps
• Proven ability to work within agile methodologies and collaborative development frameworks
• Excellent communication skills and a strong team-oriented mindset to interact effectively with various stakeholders
• Essential bilingualism in French and English, both spoken and written

Knowledge of the insurance or financial services industry is considered an asset

• Secure high stability through a one-year contract with excellent potential for long-term renewal
• Enjoy complete flexibility with a fully remote work model
• Work with a high-performance, modern cloud data ecosystem
• Evolve within a large-scale organization that values innovation and development best practices