Build enterprise data pipelines at ATCO using Azure Databricks, Python, and SQL to deliver trusted analytics solutions across the business.
As a Data and Analytics Technologist, you will design, build, and support enterprise data pipelines, data products, and analytics solutions. You will work with architects, analysts, developers, and platform teams to deliver scalable, reliable, secure, and cost-effective data solutions. Your work will support informed decision-making across ATCO.
Key Responsibilities: Design scalable pipelines and ELT/ETL processes across enterprise data sources
Develop data products, transformations, and enrichment processes
Maintain ATCO’s Enterprise Data Lakehouse using Microsoft Fabric and Databricks
Build optimized warehouse, lakehouse,



and semantic model solutions
Monitor pipelines, resolve incidents, and provide operational support
Requirements: Bachelor’s degree in a related technical discipline
5+ years of enterprise-scale cloud data engineering experience
2+ years building production pipelines within Azure Databricks
Highly proficient with Python, PySpark, and SQL
Experience with Spark optimization, Azure Data Factory, and Git
Apply Azure Databricks, Python, and SQL expertise to build reliable enterprise data solutions for ATCO.

#J-18808-Ljbffr

📌 Azure Data Engineering Technologist (Alberta)
🏢 ATCO Group
📍 Alberta