Data Engineering Developer building scalable Azure data pipelines for an agile tech development firm. Advising clients, implementing governance, and improving cloud data engineering standards.
Responsibilities
Design, develop, and maintain robust data pipelines within the Microsoft ecosystem, including Fabric, Synapse, Data Factory, and Azure Functions
Work directly with clients to understand needs, propose technical solutions, and ensure smooth project follow-ups
Document technical and functional architectures, transformations, and processes
Help establish engineering standards for code quality, data quality, CI/CD, security, and performance
Collaborate with engineers to deliver stable, optimized, and scalable data solutions
Provide technical guidance and share data engineering and architecture best practices
Implement data extraction processes through APIs to integrate external data
Oversee deployments, operational costs, and solution performance in cloud environments
Design and implement data governance and quality strategies, including metadata management, security, privacy, and cataloging
Stay current with cloud platforms, modern analytical architectures, and data governance trends
Requirements
Over 5 years of experience in a similar role; experience in consulting or multi-client environments is an asset
Strong proficiency in Python and SQL
Experience with Spark and modern analytical architectures (ELT, medallion, star schema)
Experience within the Microsoft Azure ecosystem (Functions, Storage, Fabric, Synapse, Data Factory)
Excellent communication skills in French and English
Rigour, curiosity, and attention to detail
Strong results orientation and a developed sense of client service
Experience with platforms such as Snowflake, BigQuery, or dbt is an asset
Microsoft certifications (Azure, Fabric, Power BI) are an asset
Benefits
Competitive Salary and contribution to your pension plan (RRSP)
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