Position Description CGI is looking for a skilled and collaborative Azure Data Engineering Specialist to help design, build, and scale data solutions across cloud and hybrid environments. If you enjoy working in complex data ecosystems and transforming raw data into meaningful insights, we’d love to hear from you. Responsibilities Data Pipeline Development: Design and implement ETL/ELT workflows using Azure Data Factory, Databricks, ADLS, Synapse, and Azure SQL. Build batch and streaming data pipelines with Spark/PySpark on Azure Databricks. Work with large-scale, complex datasets from diverse sources in enterprise environments. Write advanced SQL and Python code to support data transformations and analytics. Prototyping & Deployment: Translate client needs into scalable data engineering solutions. Develop proof‑of‑concepts and evolve them into full production pipelines across cloud and on‑prem platforms. Collaborate with clients to explore data sources and build insightful Power BI dashboards. Collaboration & Support: Share technical expertise with fellow data professionals and analytics teams. Contribute to cross‑functional initiatives and support data‑driven decision‑making across the organization.



Required Qualifications 5+ years of experience in data engineering, including 3+ years working with Azure. Hands‑on experience with Azure Databricks, Azure Data Factory, Spark/PySpark, and Unity Catalog. Proven ability to build streaming pipelines on Azure. Solid proficiency in Python and SQL. Solid understanding of data analysis, storage, orchestration, and big data environments. Nice to Have Experience with Informatica or other ETL tools. Exposure to machine learning projects or AI data workflows. Familiarity with workflow tools like Airflow or Jenkins. Experience with Spark/Hive/HDFS. Strong Power BI skills, including DAX, Power Apps, Power Automate, and Logic Apps. Compensation CGI is providing a reasonable estimate of the pay range for this role. Compensation decisions depend on the facts and circumstances of each case. A reasonable estimate of the current range is $95,000-$145,000. This role is a future opening. Equal‑Opportunity Statement As an equal‑opportunity employer, CGI is committed to fostering a workplace where everyone belongs. If you require an accommodation, please inform your recruiter. #J-18808-Ljbffr

📌 Azure Data Engineering Specialist - $95,000 - $145,000 A Year (Toronto)
🏢 CGI
📍 Toronto